{"id":"W7115821088","doi":"","title":"Work, Care and Policy: Evaluating Carer-Inclusive Workplace Tools to Support Canada's Care Economy","year":2025,"lang":"en","type":"dissertation","venue":"MacSphere (McMaster University)","topic":"Work-Family Balance Challenges","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Thematic analysis; Nonprobability sampling; Descriptive statistics; Population; Agency (philosophy); Qualitative property; Human resources; Qualitative research","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":[0.03851632,0.001196867,0.001453172,0.00214264,0.009056201,0.007944523,0.004025727,0.001798583,0.003248983],"category_scores_gemma":[0.05302228,0.0007304971,0.001670702,0.003791563,0.003267579,0.003157293,0.005168611,0.003668416,0.0003391637],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.1437452,"about_ca_system_score_gemma":0.3467161,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8444406,"about_ca_topic_score_gemma":0.9130435,"domain_scores_codex":[0.9715816,0.01246182,0.001667674,0.001038345,0.008043762,0.005206723],"domain_scores_gemma":[0.9618834,0.01292406,0.00362319,0.00146755,0.01301897,0.007082786],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.00832749,0.06215951,0.1573229,0.0222317,0.001343288,0.0005957113,0.1382332,0.005950898,0.002781366,0.01454187,0.01583334,0.5706786],"study_design_scores_gemma":[0.00757155,0.06391566,0.5162926,0.02071146,0.003941269,0.000119863,0.2933488,0.01018264,0.006872739,0.003815529,0.07264992,0.0005781063],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.955927,0.001990192,0.0008021674,0.003425157,0.0001317018,0.02263254,0.0009696432,0.00005522569,0.01406647],"genre_scores_gemma":[0.956205,0.003791424,0.01459672,0.00166699,0.00004865226,0.02016215,0.00093797,0.00002707428,0.002563929],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1555594,"threshold_uncertainty_score":0.9931341,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01996383633475544,"score_gpt":0.2813209707595781,"score_spread":0.2613571344248226,"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."}}