{"id":"W7133052731","doi":"","title":"Racialized Diasporas in Taylor-Massey, Toronto: Sustainability-Programming Impacts on Neighbourhood Improvement Areas","year":2023,"lang":"","type":"dissertation","venue":"TSpace","topic":"Community Health and Development","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Neighbourhood (mathematics); Multiculturalism; Diaspora; Sustainability; Qualitative research; Immigration; General partnership; Ethnic group","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008000867,0.0002354786,0.0002689022,0.0003299979,0.01461823,0.002349462,0.0006472504,0.0004102968,0.005363757],"category_scores_gemma":[0.0016376,0.0001955883,0.0001880847,0.0006933477,0.003313646,0.0009240474,0.003875452,0.0009042585,0.0002203492],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02037684,"about_ca_system_score_gemma":0.0255739,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8364724,"about_ca_topic_score_gemma":0.9554117,"domain_scores_codex":[0.9991272,0.0003184766,0.00001441805,0.00006652004,0.00008872245,0.0003846389],"domain_scores_gemma":[0.9989049,0.0001565311,0.0001132471,0.00003708514,0.0001477945,0.0006404059],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.0001467814,0.0001642335,0.0773783,0.0001835826,0.00001798601,0.001559932,0.8881695,0.0001162157,0.001244625,0.004658177,0.005073352,0.02128736],"study_design_scores_gemma":[0.000006216176,0.00006339133,0.07108755,0.000113787,0.00001251077,0.0000872887,0.91627,0.00006440016,0.0001565013,0.0001812635,0.01194778,0.000009238248],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9899682,0.000219088,0.00005934392,0.001631119,0.00002942521,0.00003050493,0.00005055847,0.000004253349,0.008007725],"genre_scores_gemma":[0.9949648,0.0004110336,0.0001303159,0.0002437381,0.000005272274,0.00002430423,0.00003205401,0.000005202925,0.004183316],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1635276,"threshold_uncertainty_score":0.3289813,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0536792643370447,"score_gpt":0.4760495716660629,"score_spread":0.4223703073290182,"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."}}