{"id":"W4238981458","doi":"10.32920/ryerson.14662488.v1","title":"The impact of government funding cuts on ethno-specific settlement services in Ontario: The case of the Afghan Association of Ontario and the Afghan Women’s Organization","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Labor Movements and Unions","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Afghan; Settlement (finance); Government (linguistics); Immigration; Service (business); Politics; Refugee; Political science; Business; Public administration; Economic growth; Public relations; Marketing; Finance; Law; Economics","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":[0.002801573,0.0002972525,0.0004057178,0.001607432,0.03427045,0.005600452,0.001937913,0.001643306,0.004626287],"category_scores_gemma":[0.008078019,0.0004838122,0.0003465551,0.00436826,0.01433411,0.001725081,0.007041516,0.001990684,0.0001901653],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.137513,"about_ca_system_score_gemma":0.1427967,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9889392,"about_ca_topic_score_gemma":0.9969433,"domain_scores_codex":[0.9925103,0.001587242,0.0001601359,0.0003435428,0.001280716,0.004118111],"domain_scores_gemma":[0.9928527,0.001882587,0.0009066311,0.0004189598,0.001639033,0.002300102],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001678524,0.0001037071,0.1233686,0.0002789563,0.00005596002,0.006926784,0.7772794,0.0006504356,0.001559218,0.04794708,0.009417511,0.0322446],"study_design_scores_gemma":[0.00001978344,0.00004054241,0.1141885,0.0002150912,0.00003291856,0.0004285484,0.806443,0.0002678644,0.000222986,0.001431498,0.07666686,0.00004241197],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9447118,0.0004922884,0.0002828185,0.006194596,0.000034467,0.0001129697,0.0001650184,0.00001055829,0.0479955],"genre_scores_gemma":[0.9922234,0.0003570522,0.0002100426,0.0005448632,0.000008136412,0.00005010449,0.00005531652,0.00001000534,0.006541078],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.137513,"threshold_uncertainty_score":0.9977316,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01337186596636807,"score_gpt":0.26347015098917,"score_spread":0.2500982850228019,"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."}}