{"id":"W3209265998","doi":"10.18357/jcs463202120002","title":"Unpacking the Childcare and Education Policy Response to the COVID-19 Pandemic: Insights from the Canadian Province of Quebec","year":2021,"lang":"en","type":"article","venue":"Journal of Childhood Studies","topic":"Social Policies and Family","field":"Social Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université TÉLUQ","funders":"","keywords":"Unpacking; Legitimacy; Subsidy; Government (linguistics); Pandemic; Coronavirus disease 2019 (COVID-19); Political science; Work (physics); Sociology; Economic growth; China; Public administration; Public relations; Politics; Medicine; Economics; Law","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0009816213,0.00008637415,0.0001959939,0.00006002699,0.002187392,0.0001188695,0.0003395602,0.0000483705,0.000002572182],"category_scores_gemma":[0.00721948,0.00004116517,0.00008389202,0.0004278718,0.0004151745,0.00008782461,0.00008321016,0.000222572,8.001952e-7],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005106044,"about_ca_system_score_gemma":0.01125698,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.674956,"about_ca_topic_score_gemma":0.982216,"domain_scores_codex":[0.9983333,0.0007732524,0.0002612538,0.00008927103,0.0003619604,0.00018099],"domain_scores_gemma":[0.9976515,0.001352417,0.0002612759,0.0001536016,0.0004017459,0.0001795192],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.00005298165,0.00004117879,0.03157795,0.000005011812,0.0002993412,0.000005244881,0.8899999,0.00002701778,0.00003933751,0.01292332,0.04866676,0.01636193],"study_design_scores_gemma":[0.0001181765,0.00002454634,0.474676,0.00004715833,0.00004166158,0.000006739478,0.257151,8.161206e-8,0.000005273612,0.007543399,0.2603349,0.00005104463],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6038994,0.02032266,0.000001573573,0.3745464,0.0002980084,0.0001721784,0.00001572589,0.000003495884,0.0007404987],"genre_scores_gemma":[0.9638504,0.002930925,0.00001496545,0.031286,0.001652127,0.00000382295,4.463887e-7,0.000005570201,0.0002557071],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6328489,"threshold_uncertainty_score":0.9991117,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04351196502279623,"score_gpt":0.3615474871537555,"score_spread":0.3180355221309593,"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."}}