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:
  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.

See Also

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)
parametersettingmeaning
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).

rankoccupationscore
from paper
(≈ACT) mean
(10 runs)
std. dev (Diag.) mean score
10 runs
std. dev (Full) mean score
10 runs
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