{"id":"W4402581627","doi":"10.22605/rrh9055","title":"Promoting women's wellbeing through the Niska (Goose) Harvesting Program in subarctic Ontario, Canada","year":2024,"lang":"en","type":"article","venue":"Rural and Remote Health","topic":"Indigenous Health, Education, and Rights","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University; Queen's University; Assembly of First Nations; University of Toronto","funders":"Institute of Indigenous Peoples' Health; Canadian Institutes of Health Research","keywords":"Indigenous; Goose; Psychological resilience; Traditional knowledge; Sociology; Economic growth; Environmental ethics; Political science; Gerontology; Ecology; Medicine; Psychology; Biology","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":[0.0006640871,0.000149442,0.0001764294,0.0004146067,0.008810226,0.00128173,0.001029025,0.0002895338,0.003585137],"category_scores_gemma":[0.0007177555,0.0001400329,0.0001436883,0.0009197807,0.001467014,0.0003164137,0.001380297,0.0005380656,0.0002204792],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03078217,"about_ca_system_score_gemma":0.09049984,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9829397,"about_ca_topic_score_gemma":0.997849,"domain_scores_codex":[0.9995664,0.00005659794,0.000006455374,0.00003326177,0.000086266,0.0002510801],"domain_scores_gemma":[0.9992434,0.00005746023,0.00003474348,0.00001208092,0.0002042301,0.0004479967],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0005345284,0.0008881025,0.3437372,0.001078691,0.00006572087,0.005098945,0.3495853,0.0005632316,0.009257286,0.006462517,0.0519138,0.2308147],"study_design_scores_gemma":[0.00004066784,0.0002543195,0.5042175,0.0004961994,0.00003669565,0.0002175932,0.3308297,0.0002610232,0.0007096071,0.0004833339,0.1624082,0.0000451409],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.95826,0.0008660397,0.000396691,0.003762065,0.00006483787,0.000359028,0.0005529747,0.00003837327,0.03569997],"genre_scores_gemma":[0.9619229,0.001786423,0.001922827,0.001079056,0.00001376614,0.0003002137,0.0003944172,0.00002174473,0.03255861],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03078217,"threshold_uncertainty_score":0.2233413,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01294980149917216,"score_gpt":0.2938122811551616,"score_spread":0.2808624796559894,"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."}}