{"id":"W6977383137","doi":"10.71892/11143/892","title":"La paresse comme levier de sensibilisation à la post-croissance au Québec","year":2025,"lang":"fr","type":"other","venue":"Open MIND","topic":"Social Sciences and Governance","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Population; Western europe; Population structure","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":[0.00263239,0.0002244399,0.0002409797,0.0008243996,0.006523346,0.004179399,0.001037144,0.0008566031,0.01440503],"category_scores_gemma":[0.004347903,0.0001902308,0.0002257293,0.001108662,0.003915964,0.001668413,0.001909221,0.002176774,0.0006598881],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04050589,"about_ca_system_score_gemma":0.04872137,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9474374,"about_ca_topic_score_gemma":0.9749428,"domain_scores_codex":[0.9983085,0.0005343786,0.00003059087,0.0002183933,0.0003776118,0.0005304959],"domain_scores_gemma":[0.9958147,0.0005413579,0.0002689189,0.0002106748,0.002094286,0.001069995],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0002644781,0.0003250702,0.1774331,0.0005902586,0.0001477952,0.001262515,0.2795044,0.001789029,0.005208026,0.2637297,0.0412287,0.2285169],"study_design_scores_gemma":[0.00002040734,0.000205325,0.3947174,0.0009109856,0.00008224393,0.000202895,0.158759,0.001419857,0.001732951,0.008474031,0.4333612,0.0001137318],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7213007,0.002425051,0.003848459,0.03297897,0.0002484772,0.0001161587,0.000643291,0.00007975834,0.2383592],"genre_scores_gemma":[0.9563646,0.0009453979,0.0006604263,0.001258271,0.00001445301,0.00003282882,0.00008876936,0.00002292374,0.04061229],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05256259,"threshold_uncertainty_score":0.2938921,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07002120195525956,"score_gpt":0.3787670268633043,"score_spread":0.3087458249080447,"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."}}