{"id":"W4380421672","doi":"10.1007/s12564-023-09875-9","title":"Learning from Asia: an APER collective response to the special issue on “Asia as Method”","year":2023,"lang":"en","type":"article","venue":"Asia Pacific Education Review","topic":"Global Educational Policies and Reforms","field":"Social Sciences","cited_by":10,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Constructive; Sociology; Key (lock); Epistemology; Economic Justice; Feature (linguistics); Work (physics); Pedagogy; Political science; Computer science; Linguistics; Law","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00266452,0.0001682924,0.0002623494,0.0001215603,0.001154517,0.000140475,0.0004085055,0.00009481083,0.00264109],"category_scores_gemma":[0.002886206,0.0001119043,0.0001122317,0.00203113,0.0000981851,0.0001481121,0.00003643829,0.0002600378,0.006812059],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004394359,"about_ca_system_score_gemma":0.002245302,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00307113,"about_ca_topic_score_gemma":0.000392512,"domain_scores_codex":[0.9966957,0.001700775,0.0003089662,0.0003812395,0.0005578281,0.0003554885],"domain_scores_gemma":[0.9983479,0.0005958924,0.0001559613,0.0003674959,0.0002596999,0.0002729932],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004454426,0.0001123786,0.00008245156,0.00002454986,0.00002218261,6.337931e-7,0.03594319,0.00001682867,0.0000150816,0.01276716,0.7954354,0.1555356],"study_design_scores_gemma":[0.00003642062,0.00009162716,0.01026659,0.000294108,0.00002646951,0.000001636618,0.1206065,0.000001455353,0.00000918274,0.001997306,0.8665359,0.0001328308],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.01165488,0.003342666,0.000005248044,0.4044429,0.004087116,0.001763319,0.00001869851,0.0001364679,0.5745487],"genre_scores_gemma":[0.07245643,0.03473937,0.001404376,0.02132033,0.03570255,0.001446232,0.0003644231,0.00009852515,0.8324678],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3831226,"threshold_uncertainty_score":0.9982706,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03269437735593198,"score_gpt":0.4090650009608187,"score_spread":0.3763706236048867,"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."}}