# Structure of Deference Paper: Supplemental Material

This website gives additional material and code to accompany the paper:
Robert E. Freeland and Jesse Hoey. The Structure of Deference: Modeling Occupational Status Using Affect Control Theory. American Sociological Review. Vol 83, No.2, April, 2018.

## Code

1. To run the deference simulator, first get the BayesACT code (v 0.5.1) from the BayesACT website or by clicking this zip file directly.
2. Then, download this deference.py Python program and put it in the same directory as the unzipped BayesACT source code
3. From that directory, you can run python deference.py -h which gives you this helpful message:
```BayesACT Deference score calculator (2 agents) usage:
python deference.py
-n number of samples (default 500)
-f outputfilename prefix (output files will start with this prefix. Default: BayesACT)
-a deference behaviour (default: defer_to)
-b behaviours filename (default: fbehaviours.dat)
behaviour files should be of type MEAN (see below)
-i identities filename (default: fidentities.dat)
-t type of identities (can be MEAN, COV or SD, default: MEAN)
identity files are comma separated (CSV) and have the following format:
MEAN: each line has identity followed by 3 numbers for E,P,A.  In this case the standard deviation used for identities is 0.1
SD: each line has identity string followed by 3 values for mean EPA followed by 3 values for Standard Deviation EPA
COV: each line has identity string followed by 3 values for mean EPA followed by 9 values for the covariance matrix row-wise as EPA

```
4. If you run it "as is" you will get the defaults which uses the default behaviour file (fbehaviours.dat, included with the BayesACT distribution, corresponds to the Indiana 2002-2004 dataset in Interact), and the default behaviour in that file of defer_to (EPA of E=-0.69, P=0.12, A=-0.9, which is not the same as in the paper (we used a different dataset where defer_to had an EPA rating of E=-.15,P=.45,A=-.44.
5. You also need an identities dataset. The default will be fidentities.dat (included with the BayesACT distribution, corresponds to the Indiana 2002-2004 dataset in Interact). You can edit this and create a smaller set, or use any other dataset you have.
6. Identities files have a mean EPA rating for each identity and then a specification of the covariance about that mean. This can be MEAN (so a diagonal covariance is used with a standard deviation in all three dimensions of 0.1), SD (a diagonal covariance with variances in the dimensions as specified), or COV (a full covariance matrix - all 9 components specified).
7. The paper used the University of Georgia 2015 dataset, which can be obtained from the ACT website.
8. A run, using "obey" instead of "defer to" and using an identity file called my_identities_file.csv with standard deviations in E,P, and A specified, would therefore look like:
python deference.py -n 500 -f MyDirectory/MyFilePrefix -a obey -b my_behaviours_file.csv -i my_identities_file.csv -t SD
9. Output is three CSV files:
• <FilePrefix>MeanDeflection.txt: gives the identities and their deference scores
• <FilePrefix>SymmetricDeflection.txt: gives the identities and their symmetric deference scores (see this note)
• <FilePrefix>DeflectionMatrix.txt: gives the full deference matrix
10. Need help? Email Jesse

## Acknowledgements

We are indebted to the creators of the ACT dictionary project (David Heise, Lynn Smith-Lovin and Dawn Robinson) for for allowing us access to their data. ACT dictionaries can be accessed from the ACT website.

Our work in extending this to use graph centrality information propagation can be found in the following paper:
David Choi, Robert E. Freeland and Jesse Hoey. Occupational Social Status Modeling with Affect Control Theory. Extended abstract presented at the International Conference on Computational Social Science, Cologne, Germany, July, 2017

## Results

The table below shows the results from the paper, which were done with a single run using an identities file with 304 occupations as specified in the paper. The identities file had SD type variances specified (i.e. diagonal covariances), which were computed from the raw dataset. The behaviour was "defer_to" with an EPA score of E=-.15,P=.45,A=-.44. We also computed full covariance matrices and ran both the SD and COV variances 10 times. Means and standard deviations across those 10 runs for both types of noise models (diagonal and full covariances). The BayesACT parameters used as follows (see also the paper appendix)
 parameter setting meaning α 1.0 std. deviation of a diagonal uniform Σb, the deflection potential covariance. βa 0.0001 identity inertia for agent (std. dev) βc 0.0001 identity inertia for client (std. dev) β0a from data initial identity std. dev. for agent β0c from data initial identity std. dev. for client γ not used model environment noise std. dev. N 500 number of samples σr N-1/3=0.126 roughening noise gender male gender of agent

### Variability Results

BayesACT involves randomness and therefore the scores may be slightly different each time. To test how much variability this introduces in the rankings, the code was run 10 times with different random seeds. We obtained Spearman rank correlations of over 0.99 for all 10 runs when compared to the run for the paper. The top 4 (12) are always the same exactly (Spearman=1.0) for diagonal (full) covariance matrices. The diagonal and covariance means also correlate with a Spearman over 0.99.

### Deference Score Results

The complete list of original results from the paper is available as a CSV file. This table shows those results in the third column. The other columns are the means and standard deviations over 10 runs for:
1. (≈ACT): a fixed diagonal covariance of 0.01 for all dimensions (this is approximately the same as deference scores based on ACT). Spearman correlation between this and the paper score is 0.92. R2 of a linear fit between this and Harris poll scores is 0.625.
2. (Diag.): diagonal covariances from data (this is the same as in the paper). Spearman correlation between this and the paper score is 0.999. R2 of a linear fit between this and Harris poll scores is 0.724.
3. (Full.): full covariances from data . Spearman correlation between this and the paper score is 0.99. R2 of a linear fit between this and Harris poll scores is 0.726.
The ranks (first column) are according to the paper scores (third column). NOTE: the numbers in columns 8-9 (Full) were originally incorrect due to a bug in the code, corrected October 21, 2019. See the original version of this page here.

note: clicking on column headers sorts the table according to that header (default: rank or paper score - 1st or 3rd columns).

 rank score from paper (≈ACT) mean(10 runs) (Diag.) mean score10 runs (Full) mean score10 runs occupation std. dev std. dev std. dev 1 surgeon 10.3344 7.6833 0.001 10.3488 0.0071 10.3124 0.012 2 firefighter 10.0919 8.3309 0.0012 10.1519 0.012 10.0725 0.016 3 doctor 9.3827 6.5539 0.0011 9.3367 0.014 9.3037 0.02 4 medic 9.2672 6.9323 0.0013 9.2401 0.013 9.1537 0.013 5 pediatrician 9.2292 6.4048 0.0017 9.2441 0.0071 9.1163 0.018 6 elementary_school_teacher 8.7915 5.5189 0.0012 8.7982 0.014 8.6768 0.011 7 nurse 8.7742 5.8612 0.0012 8.7504 0.016 8.6478 0.013 8 fundraiser 8.5196 6.1294 0.0012 8.5151 0.014 8.4241 0.014 9 scholar 8.4292 5.8266 0.0018 8.4405 0.017 8.3526 0.011 10 educator 8.3594 5.8430 0.0014 8.3878 0.0091 8.3102 0.012 11 astronaut 8.2202 5.4907 0.0012 8.2311 0.012 8.1968 0.017 12 counselor 7.9627 5.2669 0.0012 7.9668 0.022 7.9835 0.013 13 priest 7.9368 4.8319 0.0011 7.9501 0.013 7.9799 0.024 14 physician 7.8604 5.3887 0.001 7.8668 0.01 7.9253 0.016 15 skilled_worker 7.8205 5.2297 0.0012 7.7970 0.011 7.7605 0.012 16 president 7.8034 4.3977 0.00086 7.7582 0.0099 7.6510 0.015 17 telemarketer 7.7843 4.2711 0.0013 7.7827 0.013 7.7571 0.013 18 teacher 7.7603 5.2824 0.0013 7.7666 0.015 7.6880 0.015 19 coach 7.7264 5.6094 0.0013 7.7471 0.0077 7.6555 0.0069 20 veterinarian 7.7102 5.6839 0.001 7.7171 0.012 7.6840 0.0084 21 comedian 7.6549 5.2165 0.0008 7.6511 0.014 7.6294 0.0094 22 philanthropist 7.6243 5.0705 0.00083 7.6648 0.013 7.6583 0.021 23 CEO 7.5727 4.6117 0.00095 7.5552 0.013 7.4642 0.012 24 cheerleader 7.5216 4.5470 0.0013 7.5246 0.013 7.5326 0.012 25 athlete 7.4747 5.2881 0.00069 7.5094 0.0094 7.4566 0.016 26 organizer 7.4446 4.5208 0.00088 7.4428 0.0078 7.3454 0.019 27 pastor 7.4228 4.3045 0.00076 7.4416 0.012 7.4596 0.013 28 missionary 7.3893 4.2789 0.0011 7.3950 0.022 7.3785 0.0092 29 bodyguard 7.3733 4.8359 0.00084 7.3872 0.0087 7.3510 0.015 30 cook 7.3002 4.5417 0.00082 7.2730 0.014 7.1938 0.0084 31 nursing_assistant 7.2848 4.3549 0.0014 7.3044 0.0061 7.2514 0.014 32 ship_captain 7.2079 4.7635 0.0012 7.2387 0.014 7.1966 0.01 33 social_worker 7.1151 4.0556 0.00064 7.1041 0.015 6.9770 0.0058 34 host 7.1003 4.7911 0.00089 7.0545 0.0084 6.9860 0.013 35 musician 7.0205 4.2132 0.00089 7.0325 0.012 7.0373 0.011 36 storyteller 7.0172 4.1854 0.0009 7.0388 0.011 6.9769 0.013 37 airline_pilot 6.9792 4.3573 0.00091 6.9974 0.011 6.9476 0.013 38 dishwasher 6.9505 3.9038 0.001 6.9340 0.012 6.8735 0.017 39 police_officer 6.9413 3.7776 0.00081 6.9308 0.016 6.8801 0.01 40 scientist 6.9239 4.3201 0.00092 6.9392 0.017 6.9246 0.0087 41 chef 6.8696 4.3760 0.0012 6.8751 0.0077 6.7195 0.012 42 librarian 6.8536 4.2911 0.0014 6.8838 0.013 6.8286 0.0083 43 negotiator 6.8442 4.3802 0.0015 6.8467 0.013 6.8051 0.009 44 writer 6.8421 4.1984 0.00066 6.8538 0.017 6.8405 0.0069 45 entrepreneur 6.8415 4.4171 0.00071 6.8581 0.012 6.8179 0.014 46 interpreter 6.8023 4.5875 0.0011 6.8386 0.01 6.8350 0.009 47 psychiatrist 6.7067 4.0712 0.00078 6.7100 0.0097 6.7328 0.016 48 environmentalist 6.7034 3.7875 0.001 6.7273 0.014 6.7709 0.014 49 tutor 6.6990 4.7726 0.0011 6.7273 0.011 6.7082 0.0086 50 street_preacher 6.6858 3.3590 0.00077 6.6679 0.013 6.6803 0.014 51 pharmacist 6.6654 4.0191 0.0014 6.6450 0.012 6.5601 0.013 52 nutritionist 6.6256 4.3305 0.0012 6.6143 0.009 6.5835 0.0099 53 sheriff 6.5899 3.6751 0.0015 6.6003 0.014 6.4812 0.015 54 chaplain 6.5885 4.2177 0.0009 6.5969 0.0089 6.6469 0.0098 55 self-employed_worker 6.5625 3.9333 0.001 6.5308 0.0096 6.4499 0.015 56 detective 6.4834 3.9779 0.0011 6.4596 0.0088 6.4639 0.013 57 anesthetist 6.4465 3.8057 0.00095 6.4445 0.012 6.5170 0.01 58 researcher 6.4197 3.8781 0.00099 6.4336 0.008 6.3992 0.014 59 judge 6.3976 3.6965 0.00078 6.3908 0.013 6.3790 0.0079 60 diplomat 6.3902 3.4805 0.0011 6.3817 0.0079 6.2988 0.0093 61 engineer 6.3822 3.8587 0.001 6.3911 0.013 6.3744 0.011 62 street_musician 6.3702 3.8766 0.00076 6.3777 0.015 6.3949 0.01 63 library_assistant 6.3447 3.6094 0.00093 6.3027 0.011 6.2850 0.015 64 investigator 6.3208 3.7220 0.00083 6.3439 0.0095 6.2895 0.011 65 professional 6.3206 4.1306 0.00092 6.3156 0.013 6.2503 0.01 66 intern 6.3136 3.6879 0.00089 6.3036 0.014 6.2568 0.01 67 baby_sitter 6.3098 3.9493 0.00097 6.3359 0.0051 6.3561 0.014 68 philosopher 6.3046 3.1341 0.0011 6.2952 0.012 6.2802 0.018 69 night_watchman 6.2928 3.6043 0.00097 6.2667 0.011 6.2592 0.013 70 lawyer 6.2715 3.9102 0.00093 6.2570 0.01 6.2530 0.014 71 farmer 6.2645 3.9287 0.00092 6.2973 0.0098 6.2491 0.011 72 professor 6.2611 4.1831 0.0013 6.2602 0.0071 6.2215 0.012 73 chemical_engineer 6.2499 3.7620 0.00099 6.2704 0.012 6.3187 0.014 74 board_director 6.2387 3.8137 0.00087 6.2342 0.012 6.1763 0.01 75 auctioneer 6.2266 4.1196 0.00058 6.2226 0.013 6.1744 0.0095 76 principal 6.2245 4.0167 0.0013 6.1883 0.011 6.1355 0.012 77 attorney 6.2161 3.9090 0.00092 6.2171 0.0094 6.1732 0.017 78 civil_engineer 6.2155 3.7423 0.0012 6.2261 0.0094 6.2691 0.0094 79 mail_carrier 6.1922 3.7285 0.0007 6.2030 0.006 6.1263 0.011 80 civil_servant 6.1780 2.6084 0.00081 6.1569 0.011 6.0566 0.011 81 physicist 6.1517 3.4577 0.00062 6.1590 0.011 6.2213 0.013 82 hostess 6.1464 3.6510 0.00084 6.1726 0.01 6.1539 0.0083 83 church_deacon 6.1181 3.1125 0.0011 6.1170 0.015 6.0051 0.012 84 public_relations_specialist 6.1162 3.9818 0.001 6.2948 0.013 6.2253 0.0097 85 ambassador 6.1125 3.8687 0.00085 6.0963 0.0076 6.0921 0.0091 86 fire_investigator 6.1064 3.8637 0.00076 6.1634 0.0095 6.1154 0.0093 87 executive 6.1002 3.9512 0.0012 6.1478 0.01 6.1070 0.012 88 baker 6.0932 3.4980 0.00096 6.0663 0.0097 6.0653 0.014 89 server 6.0842 3.5296 0.001 6.0838 0.0096 6.0655 0.0086 90 chairwoman 6.0834 3.8717 0.00077 6.1009 0.0082 6.0097 0.015 91 speech-language_pathologist 6.0813 3.4749 0.00082 6.0187 0.015 6.0830 0.015 92 chairman_of_the_board 6.0766 3.9508 0.0011 6.0920 0.0074 6.0877 0.015 93 lecturer 6.0425 3.1268 0.0012 6.0571 0.014 5.9573 0.013 94 radio_and_television_announcer 6.0363 3.5931 0.00075 6.0557 0.006 6.0052 0.0083 95 manager 6.0207 3.9948 0.0011 6.0183 0.01 5.9708 0.011 96 instructor 6.0098 4.0020 0.001 6.0416 0.012 6.0157 0.0053 97 chemist 5.9987 3.6408 0.00057 6.0126 0.01 5.9578 0.01 98 district_attorney 5.9899 3.6151 0.00081 6.0121 0.013 5.9343 0.0081 99 secretary 5.9805 3.1586 0.00095 5.9923 0.015 5.9392 0.005 100 restaurant_operator 5.9748 3.8132 0.00078 5.9648 0.0076 5.8775 0.009 101 forest_ranger 5.9729 3.7071 0.0013 5.9557 0.012 5.9153 0.0083 102 garbage_collector 5.9726 2.9154 0.00084 6.0047 0.0094 5.9401 0.01 103 psychologist 5.9618 3.3326 0.0009 5.9623 0.01 5.9961 0.012 104 beautician 5.9404 3.1008 0.00078 5.8904 0.0093 5.9296 0.0093 105 choreographer 5.9361 3.7005 0.00082 5.8952 0.012 5.8180 0.01 106 artist 5.9361 3.1891 0.00087 5.9434 0.0089 5.8468 0.013 107 education_administrator 5.9246 3.5258 0.00068 5.9249 0.014 5.8906 0.011 108 consultant 5.9172 3.5178 0.00099 5.9155 0.0056 5.8110 0.0065 109 fisherman 5.9003 2.8665 0.00054 5.8910 0.0085 5.8640 0.0081 110 bartender 5.8968 3.6138 0.00093 5.9258 0.013 5.8543 0.019 111 ship_engineer 5.8897 3.4105 0.00075 5.9051 0.0081 5.8432 0.0087 112 newscaster 5.8778 3.4712 0.00064 5.8571 0.0068 5.8119 0.008 113 attorney_general 5.8761 3.6393 0.00073 5.8934 0.01 5.8906 0.008 114 travel_agent 5.8685 3.0888 0.00074 5.8547 0.0064 5.6845 0.0066 115 policeman 5.8564 3.5025 0.00065 5.8790 0.01 5.8443 0.0078 116 photographer 5.8543 3.2050 0.001 5.9153 0.01 5.9782 0.014 117 computer_support_specialist 5.8475 2.8902 0.001 5.8449 0.0067 5.7673 0.015 118 politician 5.8359 3.0387 0.00071 5.8448 0.015 5.8130 0.01 119 state_trooper 5.8355 2.8760 0.00066 5.8389 0.008 5.7761 0.011 120 hairstylist 5.8324 3.4014 0.0013 5.8167 0.0095 5.8189 0.012 121 biologist 5.8306 3.7420 0.00087 5.8553 0.0096 5.7688 0.01 122 ophthalmologist 5.8234 3.4270 0.00052 5.8313 0.0078 5.7422 0.012 123 reporter 5.8219 3.2676 0.00086 5.8119 0.0062 5.7518 0.0071 124 construction_foreman 5.8100 3.1761 0.00065 5.8226 0.012 5.7007 0.016 125 bellhop 5.8021 3.3919 0.0008 5.8202 0.011 5.8058 0.012 126 farm_laborer 5.7935 2.9803 0.00068 5.8108 0.0047 5.7244 0.0098 127 landscape_architect 5.7886 3.2725 0.00053 5.7708 0.0089 5.7145 0.0072 128 craftsman 5.7805 3.2459 0.00078 5.7944 0.012 5.7351 0.011 129 computer_programmer 5.7783 3.3616 0.0014 5.7481 0.0095 5.6991 0.01 130 architect 5.7764 3.5122 0.00089 5.7905 0.012 5.7724 0.014 131 electrical_engineer 5.7630 3.7184 0.0013 5.7723 0.009 5.7354 0.0088 132 pornographer 5.7608 2.2782 0.00043 5.7784 0.016 5.7511 0.0098 133 decorator 5.7593 3.3400 0.00041 5.7609 0.0088 5.7741 0.012 134 salesperson 5.7579 3.1067 0.00074 5.7484 0.011 5.7462 0.007 135 dentist 5.7566 3.1902 0.00057 5.7590 0.015 5.6823 0.01 136 chiropractor 5.7548 3.2843 0.00082 5.7823 0.0097 5.7620 0.016 137 cabinet_member 5.7381 2.5652 0.00077 5.7398 0.0088 5.7858 0.013 138 labor_union_leader 5.7129 3.2590 0.00055 5.7610 0.0056 5.7157 0.0079 139 chief_operations_officer 5.7055 3.5619 0.00096 5.7291 0.0075 5.6923 0.0083 140 dental_hygienist 5.7027 3.2952 0.0012 5.7052 0.013 5.6256 0.0088 141 taxi_driver 5.7012 3.1692 0.00081 5.6728 0.0084 5.7139 0.014 142 web_developer 5.6971 3.1469 0.00077 5.6575 0.014 5.6274 0.01 143 prosecutor 5.6812 3.4832 0.0011 5.6930 0.0079 5.6837 0.01 144 mechanical_engineer 5.6773 3.5609 0.00073 5.6789 0.0051 5.7082 0.0051 145 mayor 5.6461 3.1900 0.001 5.6641 0.012 5.5714 0.0089 146 security_guard 5.6423 2.8927 0.0011 5.6482 0.0076 5.6145 0.016 147 defense_attorney 5.6356 3.3271 0.00082 5.6581 0.01 5.5959 0.0068 148 custodian 5.6225 3.1930 0.00081 5.5881 0.011 5.6116 0.016 149 author 5.6220 3.6076 0.0013 5.6243 0.0098 5.6636 0.0092 150 waitress 5.6137 3.3657 0.00085 5.6053 0.009 5.5887 0.011 151 warden 5.6058 2.8524 0.00086 5.6087 0.013 5.5710 0.0093 152 watchman 5.5813 3.3816 0.0009 5.5467 0.0075 5.5505 0.0085 153 manager_of_branch_store 5.5759 3.0792 0.00067 5.6039 0.008 5.5949 0.0078 154 advertising_executive 5.5743 2.9125 0.00054 5.5809 0.013 5.5089 0.011 155 housekeeper 5.5710 3.1305 0.00097 5.5557 0.01 5.5187 0.0088 156 cleaning_woman 5.5646 3.0888 0.00088 5.5555 0.0076 5.4974 0.01 157 auto_mechanic 5.5638 2.8721 0.00087 5.5275 0.0065 5.4346 0.013 158 student_teacher 5.5577 3.2886 0.0009 5.5596 0.012 5.5289 0.0065 159 handyman 5.5544 3.4574 0.00088 5.5595 0.011 5.4980 0.011 160 referee 5.5508 2.9550 0.00052 5.5813 0.0079 5.5580 0.0091 161 blacksmith 5.5283 2.8320 0.0011 5.5457 0.0094 5.3916 0.016 162 flight_attendant 5.5090 2.8591 0.00082 5.5162 0.0079 5.4322 0.0046 163 computer_security_specialist 5.5015 3.2138 0.0011 5.4895 0.0096 5.4789 0.012 164 maid 5.5005 3.4040 0.0011 5.4663 0.0076 5.4156 0.0098 165 dairy_farmer 5.4946 2.9737 0.0012 5.4629 0.0081 5.4104 0.0059 166 hairdresser 5.4916 3.4005 0.0011 5.5031 0.0058 5.5089 0.0077 167 bank_manager 5.4864 2.9175 0.00085 5.5143 0.0083 5.5038 0.01 168 music_director 5.4844 3.4857 0.00071 5.5027 0.0096 5.4951 0.01 169 lobbyist 5.4831 2.6296 0.00062 5.5108 0.0086 5.4603 0.011 170 magician 5.4818 3.2101 0.00083 5.4396 0.01 5.3840 0.015 171 senator 5.4672 2.6966 0.00094 5.4748 0.0099 5.4464 0.0091 172 chambermaid 5.4616 2.5967 0.0012 5.4915 0.0071 5.5098 0.0098 173 prosecuting_attorney 5.4515 3.1434 0.0011 5.4310 0.011 5.3656 0.013 174 assistant 5.4493 3.1365 0.00054 5.4779 0.011 5.4996 0.009 175 shop_clerk 5.4491 2.6481 0.0007 5.4197 0.006 5.2590 0.0064 176 journalist 5.4401 2.6350 0.00044 5.4548 0.0099 5.3457 0.0082 177 busboy 5.4368 2.9205 0.00042 5.4042 0.0071 5.3445 0.013 178 carpenter 5.4274 2.8748 0.00084 5.4273 0.011 5.3294 0.011 179 fast_food_server 5.4210 2.9885 0.00068 5.4201 0.0086 5.3344 0.0083 180 bouncer 5.4206 3.0174 0.00081 5.3789 0.0084 5.3608 0.01 181 optical_engineer 5.4125 3.4247 0.0011 5.4583 0.012 5.4748 0.0056 182 assembly_line_worker 5.4067 2.9513 0.00093 5.4222 0.012 5.3839 0.0095 183 waiter 5.3931 3.2386 0.00092 5.3652 0.0094 5.3519 0.0094 184 editor 5.3883 2.8314 0.00064 5.4158 0.0085 5.4580 0.0079 185 cosmetologist 5.3844 2.8971 0.00068 5.4056 0.0092 5.3691 0.011 186 technician 5.3807 3.2592 0.0012 5.3926 0.013 5.3640 0.013 187 accountant 5.3595 2.6609 0.00061 5.3491 0.0083 5.2087 0.0081 188 legislator 5.3592 2.6290 0.00086 5.3385 0.012 5.2884 0.011 189 wage_earner 5.3512 3.2247 0.0011 5.3507 0.01 5.3323 0.0072 190 bailiff 5.3448 2.6512 0.00057 5.3630 0.01 5.2758 0.011 191 stockbroker 5.3430 2.7985 0.00083 5.3415 0.0059 5.2869 0.0085 192 automobile_assembler 5.3387 2.6326 0.00044 5.3613 0.011 5.2046 0.0053 193 dental_assistant 5.3373 2.7373 0.001 5.3037 0.011 5.2940 0.0075 194 commentator 5.3359 3.2029 0.00054 5.3307 0.011 5.2547 0.01 195 construction_contractor 5.3233 3.1295 0.00079 5.3193 0.0052 5.2507 0.011 196 private_eye 5.3063 2.5333 0.00065 5.2928 0.0072 5.2642 0.012 197 actor 5.2685 2.9695 0.00082 5.2773 0.011 5.2546 0.012 198 janitor 5.2643 3.2261 0.00078 5.2821 0.012 5.2093 0.0099 199 construction_laborer 5.2589 3.1496 0.00058 5.2593 0.007 5.2625 0.0096 200 deputy 5.2540 3.0745 0.00046 5.2212 0.011 5.2088 0.011 201 machine_operator_in_a_factory 5.2470 2.6255 0.00065 5.2301 0.0081 5.1040 0.013 202 receptionist 5.2432 2.7780 0.0012 5.2268 0.014 5.1993 0.0074 203 landscaper 5.2414 2.6084 0.0006 5.2070 0.0093 5.1836 0.011 204 clergy 5.2405 2.6426 0.00059 5.2926 0.012 5.2425 0.011 205 bookkeeper 5.2366 3.1550 0.0011 5.2568 0.011 5.2285 0.012 206 chauffeur 5.2326 2.9328 0.00072 5.2438 0.0085 5.2736 0.014 207 divorce_lawyer 5.2228 2.4805 0.00084 5.0164 0.0089 4.9570 0.0065 208 customer_systems_analyst 5.2176 2.2777 0.00078 5.2016 0.01 5.0973 0.0083 209 creditor 5.2128 2.1658 0.00079 5.2379 0.0096 5.2347 0.016 210 machine_repairer 5.2109 3.0116 0.00075 5.1754 0.0056 5.1643 0.0079 211 roofer 5.2091 2.4038 0.00084 5.2075 0.0075 5.0755 0.0058 212 merchant 5.1999 2.6442 0.00062 5.1804 0.011 5.1203 0.0079 213 probation_officer 5.1924 2.5025 0.00064 5.2116 0.0088 5.1651 0.0067 214 sewing_machine_operator 5.1793 2.6346 0.00074 5.1911 0.0076 5.1159 0.0067 215 migrant_worker 5.1744 2.6401 0.00079 5.2335 0.0076 5.2204 0.0092 216 coal_miner 5.1699 2.2974 0.00041 5.1892 0.0084 5.1453 0.011 217 railroad_engineer 5.1628 2.6876 0.00087 5.1158 0.0087 5.0444 0.0079 218 bank_teller 5.1582 2.4625 0.00093 5.1439 0.007 5.0810 0.012 219 bus_driver 5.1563 2.7032 0.00093 5.1424 0.0087 5.0592 0.012 220 steel_worker 5.1464 2.5264 0.00053 5.1480 0.01 5.1185 0.0097 221 dietitian 5.1420 2.9759 0.00064 5.1450 0.012 5.0766 0.0077 222 systems_engineer 5.1361 2.9351 0.00065 5.1585 0.0094 5.1221 0.0079 223 governor 5.1086 2.8932 0.00079 5.0999 0.012 5.0881 0.0075 224 film_star 5.1006 2.9298 0.001 5.0858 0.008 5.0649 0.0087 225 bricklayer 5.0949 2.4786 0.00064 5.0958 0.0081 4.9676 0.011 226 sheet_metal_worker 5.0872 2.7134 0.00099 5.0497 0.011 4.9692 0.0093 227 geologist 5.0814 2.8116 0.00077 5.0637 0.012 5.0258 0.011 228 interviewer 5.0496 2.6634 0.0011 5.0075 0.0083 4.9959 0.0087 229 cement_worker 5.0477 2.3837 0.00038 5.0697 0.0086 4.9539 0.0092 230 laborer 5.0402 2.5290 0.00076 5.0603 0.0072 4.9057 0.013 231 patrolman 5.0369 2.5819 0.00071 5.0720 0.0089 5.0115 0.0099 232 bulldozer_operator 5.0210 2.5378 0.00052 5.0014 0.0086 4.9362 0.014 233 shopkeeper 5.0202 2.7162 0.00074 4.9879 0.0074 4.9371 0.0088 234 interrogator 5.0053 2.8531 0.00085 5.0226 0.0068 5.0288 0.0071 235 typist 4.9996 2.5759 0.00054 4.9978 0.0061 4.9669 0.011 236 commissioner 4.9976 2.7684 0.00083 5.0026 0.008 4.9180 0.011 237 CPA 4.9837 2.3695 0.00062 4.9872 0.0078 4.9628 0.012 238 immigration_officer 4.9769 2.3164 0.00064 5.0052 0.0079 4.9498 0.0098 239 parking_attendant 4.9614 1.9548 0.00043 4.9573 0.0092 4.8555 0.0081 240 political_scientist 4.9611 2.3381 0.0006 4.9942 0.0077 4.9460 0.0056 241 tax_preparer 4.9539 2.2163 0.00098 4.9308 0.0098 4.9045 0.015 242 statistician 4.9423 2.4319 0.00068 4.9181 0.0074 4.8460 0.01 243 lobby_attendant 4.9394 2.7091 0.00053 4.9482 0.0099 4.9148 0.0068 244 bookie 4.9393 1.7800 0.00057 4.9433 0.0086 4.9171 0.0089 245 telephone_operator 4.9353 2.1291 0.001 4.9546 0.01 4.9636 0.0093 246 usher 4.9243 2.8953 0.00064 4.9398 0.011 4.9503 0.013 247 building_contractor 4.9242 2.9016 0.00061 4.9273 0.0097 4.9052 0.012 248 barber 4.9241 2.7891 0.0008 4.9268 0.0079 4.9317 0.0071 249 city_councilor 4.9112 2.7160 0.00079 4.9165 0.011 4.8740 0.012 250 funeral_director 4.9038 2.5345 0.001 4.9145 0.0043 4.9352 0.0066 251 inspector 4.9028 2.4503 0.00077 4.8966 0.0091 4.9312 0.0089 252 broadcast_news_analyst 4.9005 2.6847 0.00086 4.9612 0.0047 4.9056 0.0066 253 logger 4.8961 2.3779 0.00042 4.9165 0.012 4.9007 0.012 254 bill_collector 4.8860 2.4153 0.00095 4.9347 0.0087 4.9076 0.012 255 shoe_repairman 4.8834 2.7879 0.00083 4.8433 0.0092 4.8163 0.0073 256 supervisor 4.8645 2.9250 0.001 4.8499 0.0094 4.8161 0.015 257 butcher 4.8623 2.2006 0.00081 4.9006 0.012 4.9053 0.013 258 economist 4.8316 2.4571 0.00085 4.8431 0.0082 4.8250 0.012 259 miner 4.8009 2.3969 0.0008 4.7954 0.0086 4.6927 0.0088 260 railroad_conductor 4.7957 2.8307 0.0011 4.7935 0.006 4.7529 0.0092 261 wholesaler 4.7758 2.4890 0.00063 4.7654 0.0075 4.7504 0.0086 262 welder 4.7609 2.4847 0.00071 4.7526 0.0057 4.7743 0.0095 263 plumber 4.7511 2.7707 0.00061 4.7206 0.011 4.6930 0.005 264 switchboard_operator 4.7385 2.1939 0.0012 4.7036 0.0059 4.6019 0.0096 265 crane_operator 4.7356 2.4733 0.0006 4.7223 0.0072 4.6754 0.01 266 locksmith 4.7216 2.5614 0.00082 4.6767 0.0097 4.6681 0.012 267 electrician 4.7209 2.5979 0.0007 4.7158 0.0084 4.6620 0.0089 268 tailor 4.7138 2.5474 0.00083 4.7255 0.0069 4.6457 0.0068 269 gas_station_attendant 4.7135 2.5625 0.00077 4.7351 0.0063 4.6995 0.0075 270 tool_and_die_maker 4.7069 2.2920 0.00083 4.6776 0.0088 4.5661 0.0065 271 clerical_worker 4.6800 2.4931 0.0011 4.6814 0.0067 4.6286 0.0062 272 temporary_worker 4.6669 2.6184 0.00058 4.6488 0.0052 4.6156 0.0083 273 online_merchant 4.6534 2.1840 0.00099 4.6447 0.012 4.6185 0.0085 274 truck_driver 4.6489 1.9714 0.0007 4.6371 0.0091 4.5553 0.0043 275 part-time_employee 4.6279 2.5604 0.0012 4.6428 0.011 4.5900 0.009 276 cashier 4.6198 2.4850 0.00084 4.6134 0.0081 4.5319 0.01 277 tv_repairman 4.6182 2.3648 0.00079 4.6376 0.0096 4.6302 0.0086 278 rancher 4.5897 2.2636 0.00065 4.5872 0.0056 4.5356 0.012 279 psychoanalyst 4.5792 2.4613 0.00049 4.5627 0.0062 4.5537 0.01 280 electrical_linesman 4.5737 2.3768 0.00075 4.5897 0.0079 4.4843 0.0052 281 salesclerk 4.5531 2.5111 0.00075 4.5535 0.0071 4.4977 0.012 282 telephone_installer 4.5419 2.3876 0.00062 4.5605 0.0074 4.4947 0.0081 283 casual_laborer 4.5285 2.3128 0.00045 4.5349 0.012 4.4487 0.0095 284 file_clerk 4.5247 2.4573 0.00077 4.5221 0.012 4.5103 0.01 285 auditor_general 4.5189 2.0793 0.00082 4.4914 0.01 4.3815 0.0044 286 ticket_taker 4.5094 2.1342 0.00056 4.4940 0.0095 4.4107 0.0082 287 clerk 4.5058 2.4873 0.00088 4.5042 0.0088 4.4613 0.0078 288 real_estate_agent 4.4853 2.6790 0.00099 4.4917 0.0083 4.4687 0.0081 289 cabinet_maker 4.4832 2.4512 0.00072 4.4456 0.0063 4.3730 0.0078 290 retailer 4.4586 2.3288 0.00068 4.4627 0.0088 4.4631 0.0049 291 textile_worker 4.4496 2.5690 0.00093 4.4487 0.0064 4.4437 0.0085 292 coroner 4.4403 2.2138 0.00084 4.4414 0.0087 4.4337 0.011 293 advertising_copy_writer 4.3859 2.1965 0.00047 4.3809 0.0086 4.3096 0.0072 294 auditor 4.3601 2.0741 0.00078 4.3533 0.013 4.3412 0.0074 295 customs_officer 4.3562 2.0756 0.00053 4.4134 0.0078 4.3765 0.0078 296 transportation_ticket_agent 4.2870 1.9843 0.00072 4.2920 0.0094 4.2052 0.0091 297 bailsman 4.2141 2.3037 0.0007 4.2443 0.0045 4.2217 0.011 298 jeweler 4.1811 2.1951 0.00067 4.1661 0.006 4.1289 0.0051 299 foreman 4.1687 2.1353 0.00068 4.1821 0.0092 4.1246 0.0069 300 motel_owner 4.1457 1.9159 0.00064 4.1633 0.0062 4.1521 0.009 301 insurance_agent 4.1410 2.1069 0.00053 4.1630 0.0064 4.1260 0.011 302 insurance_claims_investigator 4.1215 1.9079 0.00046 4.1248 0.0078 4.0486 0.0064 303 pawnbroker 3.8809 1.9741 0.0008 3.8922 0.0071 3.8955 0.009 304 stenographer 3.8392 2.0646 0.00066 3.8471 0.0078 3.8150 0.0087