{"id":"W2761888982","doi":"10.1177/0049124117729709","title":"Power Law Distributions and the Size Distribution of Strikes","year":2017,"lang":"en","type":"article","venue":"Sociological Methods & Research","topic":"Labor Movements and Unions","field":"Social Sciences","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Log-normal distribution; Econometrics; Distribution (mathematics); Power law; Statistics; Power (physics); Perspective (graphical); Pareto distribution; Duration (music); Law; Economics; Mathematics; Political science; Physics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","sts"],"consensus_categories":["sts"],"category_scores_codex":[0.01636007,0.00006436038,0.0001930033,0.000006891164,0.005196653,0.0001782353,0.0005848506,0.0001694282,0.0003130321],"category_scores_gemma":[0.01815248,0.00003470415,0.00008415715,0.0001142591,0.01211981,0.000108995,0.0003570331,0.0004389115,0.000001483738],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006123839,"about_ca_system_score_gemma":0.00008508649,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004675095,"about_ca_topic_score_gemma":0.0002041295,"domain_scores_codex":[0.9939556,0.004863929,0.0001717454,0.0001936284,0.0004078681,0.0004072249],"domain_scores_gemma":[0.9926074,0.00646951,0.00009352659,0.0003569215,0.0003621998,0.0001104485],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00002725402,0.00004062169,0.00134429,0.000001187684,0.00001536886,5.289907e-7,0.001059756,3.0149e-8,0.0002500688,0.9922788,0.0002969702,0.004685145],"study_design_scores_gemma":[0.0004735031,0.00006843267,0.3092955,0.000007029201,0.000008372969,1.099352e-7,0.004510638,0.0000028119,0.0002334874,0.5796953,0.1056434,0.00006140162],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8039274,0.000974579,0.00762891,0.05939628,0.0003488107,0.001073294,0.0004342854,0.00005471245,0.1261618],"genre_scores_gemma":[0.9965387,0.0003395427,0.002278716,0.00007534583,0.00009517495,0.00003706185,0.000005905842,0.000002619096,0.0006269275],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4125834,"threshold_uncertainty_score":0.9960985,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1715518980099796,"score_gpt":0.5483748844190327,"score_spread":0.3768229864090531,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}