{"id":"W2755522459","doi":"10.55016/ojs/ajer.v63i1.56175","title":"From Collapse to Relationality Improv: High School Stories in Motion for Justice","year":2017,"lang":"en","type":"article","venue":"Alberta Journal of Educational Research","topic":"Teacher Education and Leadership Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University; Memorial University of Newfoundland","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Economic Justice; Motion (physics); Psychology; Mathematics education; Pedagogy; Sociology; Law; Political science; Artificial intelligence; Computer science","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004521037,0.0004569425,0.0003754108,0.0009835833,0.01225683,0.009587376,0.0011644,0.001399879,0.002542428],"category_scores_gemma":[0.008421924,0.0004198521,0.0003615683,0.000805561,0.02372652,0.009111574,0.01078784,0.003768714,0.0002953159],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004454203,"about_ca_system_score_gemma":0.002796751,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0119991,"about_ca_topic_score_gemma":0.02896557,"domain_scores_codex":[0.9932909,0.005265024,0.0001130492,0.000259478,0.0004476504,0.0006238192],"domain_scores_gemma":[0.995596,0.002577498,0.000510183,0.0003355258,0.0002312994,0.0007494102],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00002393082,0.00002390343,0.002982818,0.00003384256,0.000005172117,0.0003445137,0.9752707,0.00004278452,0.0003821885,0.01447272,0.001075863,0.00534153],"study_design_scores_gemma":[0.000004967513,0.00003518121,0.003311377,0.000106859,0.000009753561,0.0003579785,0.9561634,0.0001292666,0.000809285,0.00583398,0.03321869,0.0000192859],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.932375,0.001167598,0.007734617,0.008105736,0.0001462655,0.00006848241,0.00009287283,0.0001075732,0.05020203],"genre_scores_gemma":[0.9967945,0.0002271439,0.000733832,0.0002481836,0.00001118838,0.00002114136,0.00002329004,0.00003025004,0.001910341],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01225683,"threshold_uncertainty_score":0.0323177,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3585296928568716,"score_gpt":0.5526088671340101,"score_spread":0.1940791742771385,"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."}}