{"id":"W4409982604","doi":"10.3138/jmvfh-2024-0051","title":"Diversifying theory and models for change: Why multiple frameworks better advance equity and belonging in the Canadian Armed Forces","year":2025,"lang":"en","type":"article","venue":"Journal of Military Veteran and Family Health","topic":"Gender, Security, and Conflict","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Forces College","funders":"","keywords":"Equity (law); Political science; Business; Economics; Law","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":[],"consensus_categories":[],"category_scores_codex":[0.003000938,0.0000877464,0.0002026734,0.0001583534,0.0008920446,0.00003992398,0.0001578435,0.0001027567,9.307886e-7],"category_scores_gemma":[0.0001189864,0.00006845364,0.00003969964,0.0001025766,0.0001588936,0.0003111306,0.00004407389,0.0003562307,2.66594e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008968899,"about_ca_system_score_gemma":0.000230152,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.08621691,"about_ca_topic_score_gemma":0.3692265,"domain_scores_codex":[0.9988074,0.0003249554,0.0002298478,0.000133393,0.0001650766,0.0003393824],"domain_scores_gemma":[0.9990075,0.0006127146,0.00006835874,0.00006628659,0.00005425661,0.0001909357],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.000507568,0.00005589358,0.05966166,0.0004761066,0.00006237058,0.00002415291,0.5589916,0.00004151437,0.00001011382,0.02209747,0.001202317,0.3568692],"study_design_scores_gemma":[0.003632779,0.0007464695,0.3701086,0.0009933524,0.00006334223,0.00001946779,0.2843559,0.00560297,8.926938e-7,0.2902592,0.04381742,0.0003996701],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8795341,0.09429357,0.001870628,0.02316196,0.000269065,0.0004796118,0.0000209847,0.000004322995,0.0003657966],"genre_scores_gemma":[0.954827,0.0136968,0.0006269692,0.0307062,0.0001243203,0.000006504085,9.360369e-7,0.000003406611,0.000007908307],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3564695,"threshold_uncertainty_score":0.9198681,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0765012108185685,"score_gpt":0.3668774528878824,"score_spread":0.2903762420693139,"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."}}