{"id":"W6885982533","doi":"10.14288/ce.v13i4.186603","title":"‘No Cuts to Education’","year":2020,"lang":"en","type":"article","venue":"Érudit (Université de Montréal)","topic":"Canadian Identity and History","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Grassroots; Government (linguistics); Resistance (ecology); Battle; Outreach; Social movement; Power (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":[0.002890612,0.0003073256,0.0002888837,0.0009622767,0.02677819,0.008124229,0.001258885,0.003041427,0.007845408],"category_scores_gemma":[0.005868857,0.0002907607,0.0002348136,0.001665066,0.03349392,0.003422444,0.0046995,0.004667073,0.000582612],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.1009209,"about_ca_system_score_gemma":0.09576616,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9523113,"about_ca_topic_score_gemma":0.9766273,"domain_scores_codex":[0.9927701,0.0008417493,0.00009702757,0.0005698574,0.002185379,0.003535743],"domain_scores_gemma":[0.9978684,0.0003397336,0.0002002754,0.0001844738,0.0005926504,0.0008144259],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00007113483,0.00003617805,0.006360685,0.0001100174,0.00001422119,0.0003437356,0.2297074,0.000175469,0.0008021084,0.6146529,0.102514,0.04521211],"study_design_scores_gemma":[0.000009872195,0.00002831202,0.01306031,0.0001391587,0.000007340283,0.00007707668,0.06551595,0.0000701094,0.0002447974,0.00768269,0.9131374,0.00002695737],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2253311,0.005277657,0.001573616,0.1777949,0.001051626,0.0000597835,0.0002933633,0.0001098233,0.5885082],"genre_scores_gemma":[0.8958005,0.0009959338,0.0003374051,0.01059301,0.00008509461,0.00001855157,0.00006502255,0.00003957448,0.09206498],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1009209,"threshold_uncertainty_score":0.7322359,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005539490457072224,"score_gpt":0.1649917321660231,"score_spread":0.1594522417089509,"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."}}