{"id":"W4393015135","doi":"10.3389/fpsyg.2024.1356620","title":"Integrating gender expertise into the Canadian Armed Forces: challenges for change agents and culture change","year":2024,"lang":"en","type":"article","venue":"Frontiers in Psychology","topic":"Gender, Security, and Conflict","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Defence Research and Development Canada","funders":"Social Sciences and Humanities Research Council of Canada; Ministère de la Défense Nationale; Canadian Armed Forces","keywords":"Transformative learning; Context (archaeology); Culture change; Public relations; Legitimacy; Social psychology; Psychology; Sociology; Political science; Gender studies; Social science; Politics","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":[0.0138526,0.0008081232,0.0007077361,0.002863407,0.06068681,0.01669668,0.003192792,0.00344005,0.009111574],"category_scores_gemma":[0.01346189,0.0004348085,0.0005751024,0.003716585,0.04261039,0.006959451,0.01226562,0.005025049,0.0004814397],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.1519012,"about_ca_system_score_gemma":0.2334937,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9667011,"about_ca_topic_score_gemma":0.9774337,"domain_scores_codex":[0.9857982,0.004815265,0.0002431576,0.001115938,0.003892164,0.004135343],"domain_scores_gemma":[0.9905924,0.002338042,0.0005480155,0.0003572869,0.002826345,0.003337863],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00004195042,0.00003471473,0.01085399,0.0002719073,0.00001597096,0.001093927,0.8137641,0.0002192599,0.0006798037,0.1006679,0.0159516,0.05640489],"study_design_scores_gemma":[0.000004035722,0.00001848161,0.006784643,0.0004158595,0.00001045065,0.0002131854,0.8298051,0.0001394787,0.0001576549,0.008527202,0.1538672,0.00005674233],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4826261,0.01825242,0.007371486,0.2121669,0.002682174,0.0002735912,0.0003837447,0.0001266586,0.2761169],"genre_scores_gemma":[0.9766898,0.004188046,0.002309424,0.005265834,0.00009911945,0.00006911211,0.00005014916,0.00003866242,0.01128987],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8480988,"threshold_uncertainty_score":0.9836743,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1670468457294972,"score_gpt":0.3980889984058822,"score_spread":0.2310421526763849,"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."}}