{"id":"W2205486429","doi":"","title":"A critical exploration of voluntary sector social policy advocacy with marginalized communities using a population health lens and social justice.","year":2008,"lang":"en","type":"dissertation","venue":"oURspace (University of Regina)","topic":"Community Health and Development","field":"Health Professions","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of Toronto; Fondations communautaires du Canada; Queen's University; Victoria University; Victoria University of Wellington; Oxfam America; University of Oxford; Wilfrid Laurier University; McGill University; University of Regina","keywords":"Social justice; Voluntary sector; Through-the-lens metering; Political science; Population; Turnover; Social policy; Lens (geology); Public administration; Sociology; Public relations; Criminology; Law; Economics; Management; Engineering","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.0003804386,0.0002503521,0.0007816326,0.0005843051,0.00393891,0.000006235513,0.0001877212,0.0003979584,0.00001806173],"category_scores_gemma":[0.00005357509,0.0003123894,0.00008373765,0.0003543994,0.0002503799,0.0004923369,0.00008616511,0.0008904109,0.0000021603],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007150348,"about_ca_system_score_gemma":0.004171706,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01833536,"about_ca_topic_score_gemma":0.0498865,"domain_scores_codex":[0.9977683,0.001059741,0.00009882561,0.0001869212,0.0004240416,0.0004621037],"domain_scores_gemma":[0.9978395,0.0002819988,0.0009153559,0.0002100565,0.0006270237,0.000126095],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.005779829,0.0002554672,0.0110869,0.03044205,0.0002321772,0.00002235327,0.7597892,0.00001234724,0.00004186511,0.01662972,0.1719264,0.003781685],"study_design_scores_gemma":[0.002400065,0.0003377456,0.0835908,0.001839458,0.0002677096,0.000006156356,0.8212135,0.0002002562,8.508684e-7,0.00008045599,0.08968455,0.0003784175],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6941884,0.0001789766,0.0004438345,0.3039034,0.0001560667,0.0007196564,0.00006287163,0.00004512677,0.0003016955],"genre_scores_gemma":[0.9442874,0.004735058,0.01763994,0.00178408,0.0009986985,0.00001504329,0.006496981,0.0001761489,0.02386668],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3021193,"threshold_uncertainty_score":0.9999328,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1139578666340621,"score_gpt":0.3913327145149513,"score_spread":0.2773748478808891,"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."}}