{"id":"W7118313480","doi":"10.33422/jarss.v8i4.1673","title":"Unlocking Potential: An Analysis of the Key Predictors of Labour Force Participation Among African Immigrant Women in Canada","year":2025,"lang":"","type":"article","venue":"Journal of Advanced Research in Social Sciences","topic":"Migration and Labor Dynamics","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Microdata (statistics); Immigration; Census; Marital status; Public use; Thematic analysis; Public policy","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":[0.0008382989,0.0003391029,0.0003903364,0.001783425,0.005506307,0.001937996,0.001217525,0.0004052804,0.00290748],"category_scores_gemma":[0.002373558,0.0002120345,0.0005152246,0.003943412,0.0009631737,0.0004944231,0.00188893,0.0008605057,0.0002718595],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01760675,"about_ca_system_score_gemma":0.05356255,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9904956,"about_ca_topic_score_gemma":0.9963621,"domain_scores_codex":[0.9992588,0.00006089152,0.00003133226,0.00005350227,0.0002051122,0.0003902995],"domain_scores_gemma":[0.9986749,0.0001178714,0.000201897,0.00003589483,0.0005108177,0.0004585836],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004760161,0.00003876078,0.9794016,0.0000569514,0.00002330941,0.0001892749,0.009458128,0.00008781307,0.0001728884,0.0004812475,0.001141498,0.008901009],"study_design_scores_gemma":[0.000002204374,0.00002017729,0.9523553,0.0001291463,0.00001651016,0.00006234628,0.04415216,0.0003133556,0.00005995228,0.00007130838,0.002802106,0.00001551318],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9954689,0.0003803904,0.00006576259,0.0004801455,0.000009100097,0.00003518762,0.001143948,0.000003408275,0.002413124],"genre_scores_gemma":[0.9973434,0.0005108532,0.0001505511,0.00009516007,0.000003987926,0.00002246419,0.0005828455,0.000004049375,0.001286678],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01760675,"threshold_uncertainty_score":0.1277465,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03166434241467009,"score_gpt":0.3934024925920468,"score_spread":0.3617381501773767,"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."}}