{"id":"W2001779079","doi":"10.1177/0022185607087905","title":"Non-standard Employment and Promotions: A Within Genders Analysis","year":2008,"lang":"en","type":"article","venue":"Journal of Industrial Relations","topic":"Employment and Welfare Studies","field":"Health Professions","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland; McMaster University","funders":"McMaster University","keywords":"Promotion (chess); Labour economics; Demographic economics; Part-time employment; Affect (linguistics); Work (physics); Full-time; Working time; Economics; Business; Psychology; Political science; Economic growth; Engineering","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001186524,0.000187381,0.0003437242,0.001277693,0.0006276523,0.0007419562,0.0003459301,0.0002375442,0.006261488],"category_scores_gemma":[0.00422217,0.0001513591,0.0005888966,0.0007059769,0.000535217,0.0004730952,0.001386701,0.0005034313,0.0003584508],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004392894,"about_ca_system_score_gemma":0.0006521369,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007287753,"about_ca_topic_score_gemma":0.0112978,"domain_scores_codex":[0.998889,0.0002631817,0.00007114317,0.00009396901,0.0003483552,0.0003343959],"domain_scores_gemma":[0.9969324,0.001145415,0.0009115858,0.0001291186,0.0002771975,0.0006044009],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003846827,0.0001483136,0.9802786,0.00006119082,0.00007360285,0.0001966207,0.006169869,0.00005395,0.0005259865,0.000297538,0.0002892089,0.01152045],"study_design_scores_gemma":[0.000004720638,0.0001635097,0.9905657,0.00001893674,0.00001627259,0.0001461814,0.008096477,0.00008920937,0.0000939098,0.00008136902,0.0007196734,0.000003932005],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.998419,0.0001844795,0.00006946542,0.0000334167,0.000008642206,0.00001057838,0.0001457268,0.000001883051,0.001126739],"genre_scores_gemma":[0.9991683,0.0001035602,0.00006639196,0.00001180813,0.000009439966,0.00001445312,0.000106484,0.000001966037,0.0005177736],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007287753,"threshold_uncertainty_score":0.0209468,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1516562369685847,"score_gpt":0.3989374691718229,"score_spread":0.2472812322032382,"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."}}