{"id":"W4407922990","doi":"10.2139/ssrn.5153007","title":"Equity, Diversity and Inclusion in Canada's Forest Sector Labour Force: Are We Making Progress?","year":2025,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Forest Management and Policy","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Moncton; University of Saskatchewan","funders":"","keywords":"Diversity (politics); Equity (law); Inclusion (mineral); Gender equity; Business; Geography; Political science; Economics; Sociology; Economic growth; Gender studies; Anthropology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006537236,0.0003014555,0.0009810022,0.002899045,0.01391271,0.0113239,0.00255326,0.003034525,0.01019868],"category_scores_gemma":[0.01706884,0.0002836615,0.0004911185,0.006083265,0.01228738,0.006213773,0.008080361,0.003554545,0.000333275],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.06322394,"about_ca_system_score_gemma":0.1836467,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9855241,"about_ca_topic_score_gemma":0.9910012,"domain_scores_codex":[0.9923459,0.0006153602,0.0001432767,0.0003758385,0.00198979,0.004529833],"domain_scores_gemma":[0.9787209,0.004185612,0.001243737,0.0004277613,0.005401202,0.01002081],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005380064,0.0005564204,0.535989,0.0005277458,0.0002691152,0.0003521139,0.06304586,0.00217838,0.0003426757,0.1662013,0.05937196,0.1706275],"study_design_scores_gemma":[0.00007252015,0.00009349358,0.7476301,0.001229689,0.0001314134,0.00007607385,0.1196083,0.001545314,0.0003569575,0.05910226,0.06998651,0.0001674938],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7540239,0.009166371,0.0005328725,0.1655169,0.0003099165,0.00006165136,0.001790253,0.0000217528,0.06857637],"genre_scores_gemma":[0.9912867,0.001619365,0.0001473192,0.002493001,0.00009141726,0.00001642392,0.0001748538,0.000006901982,0.004163949],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06322394,"threshold_uncertainty_score":0.458724,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01397521428821703,"score_gpt":0.260071616316939,"score_spread":0.246096402028722,"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."}}