{"id":"W7123363177","doi":"10.54675/secf7864","title":"Lifelong learning entitlements From design to impact: Cases of Australia, Canada, France, Ireland, Republic of Korea and Singapore","year":2025,"lang":"","type":"book","venue":"UNESCO eBooks","topic":"Global Educational Policies and Reforms","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Lifelong learning; Government (linguistics); Entitlement (fair division); Work (physics)","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":[0.003492282,0.0003199171,0.0003252082,0.00114428,0.01312811,0.00832343,0.001786929,0.002967207,0.008712105],"category_scores_gemma":[0.006815868,0.0002827847,0.0004941808,0.002396119,0.0103163,0.00386824,0.007972159,0.003545508,0.0004705211],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02578063,"about_ca_system_score_gemma":0.03225287,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5948492,"about_ca_topic_score_gemma":0.8079494,"domain_scores_codex":[0.9955628,0.001169453,0.00007432919,0.000161352,0.0009868814,0.002045351],"domain_scores_gemma":[0.9962873,0.001297512,0.000231193,0.0001515675,0.0006079866,0.001424334],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001033398,0.0003208294,0.01448788,0.0001057541,0.00002005509,0.002490971,0.1138863,0.0008182939,0.0002901201,0.7905949,0.02973047,0.04715118],"study_design_scores_gemma":[0.0001123151,0.0001849124,0.06663509,0.0008730496,0.00009970211,0.001607739,0.4210798,0.002118208,0.001025773,0.1063223,0.3998397,0.0001015341],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2922362,0.001117901,0.001097041,0.01612479,0.00004871787,0.0001129237,0.00008300359,0.00002489492,0.6891544],"genre_scores_gemma":[0.9164146,0.0004764156,0.0004022767,0.001169923,0.00000954953,0.00006361987,0.00003362316,0.00001520677,0.0814148],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9742194,"threshold_uncertainty_score":0.8150737,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02942142103209286,"score_gpt":0.3152072227419118,"score_spread":0.2857858017098189,"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."}}