{"id":"W2026090803","doi":"10.7202/021876ar","title":"Un aperçu féminin sur la restructuration de l’emploi et sur la gentrification : le cas de Montréal","year":2005,"lang":"fr","type":"article","venue":"Cahiers de géographie du Québec","topic":"French Urban and Social Studies","field":"Social Sciences","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Humanities; Gentrification; Political science; Art; Economics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.001573815,0.0003054671,0.0003335559,0.0001741538,0.001245199,0.0002016872,0.0003394612,0.0006850308,0.00007333579],"category_scores_gemma":[0.001224309,0.0003511983,0.0003020097,0.001035808,0.00570117,0.0005029039,0.0000351179,0.0006100195,0.00003292053],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002045675,"about_ca_system_score_gemma":0.002028523,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5130413,"about_ca_topic_score_gemma":0.6364082,"domain_scores_codex":[0.9966712,0.001351971,0.0004040322,0.0004067898,0.0003759658,0.0007900146],"domain_scores_gemma":[0.9978557,0.001136929,0.0002289668,0.0002298694,0.0001908824,0.0003576582],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006309542,0.0003353913,0.03009507,0.00004845937,0.0003075712,0.00008717262,0.1531583,0.0003480093,0.0005347817,0.5959182,0.1087209,0.110383],"study_design_scores_gemma":[0.0007250587,0.00004941408,0.1418121,0.00003446425,0.0001407857,0.00003214173,0.004235852,0.000282886,0.0001705691,0.006243614,0.8458512,0.0004219197],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8705393,0.04463008,0.000829502,0.05071461,0.0004612284,0.0003132199,0.00002486408,0.0001647468,0.03232246],"genre_scores_gemma":[0.9526088,0.02001268,0.001205457,0.001185576,0.0009420784,0.00006469929,0.00001734889,0.00004484157,0.02391857],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7371303,"threshold_uncertainty_score":0.999894,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009858133393599961,"score_gpt":0.2163532041060037,"score_spread":0.2064950707124037,"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."}}