{"id":"W2213186415","doi":"","title":"Using Action Research and Provincial Test Results to Improve Student Learning, 6(20)","year":2002,"lang":"en","type":"article","venue":"IEJLL: International Electronic Journal for Leadership in Learning","topic":"Evaluation and Performance Assessment","field":"Decision Sciences","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Test (biology); Mathematics education; Action research; Action (physics); Psychology; Work (physics); Pedagogy; Medical education; Engineering; Medicine","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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.01795714,0.0001802778,0.000235685,0.001238788,0.0007656096,0.0008866138,0.0006648276,0.0001165603,0.0003601513],"category_scores_gemma":[0.01166454,0.0001584192,0.00009274712,0.000713196,0.00008467939,0.0008301217,0.0001148595,0.002453059,0.0001102297],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001430932,"about_ca_system_score_gemma":0.0003913269,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003028967,"about_ca_topic_score_gemma":0.000478093,"domain_scores_codex":[0.9941644,0.0005701707,0.00095559,0.000566029,0.002742215,0.001001604],"domain_scores_gemma":[0.9955686,0.002409045,0.0004456119,0.0001533342,0.001244821,0.0001786351],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.002538161,0.001337428,0.2961148,0.00006015199,0.0002669697,0.00004373999,0.03564461,0.2702078,0.03644193,0.01113545,0.006060556,0.3401484],"study_design_scores_gemma":[0.006912177,0.006955702,0.01777416,0.0003361553,0.00002685787,0.0003812118,0.06054305,0.5956861,0.001441581,0.01126779,0.297925,0.0007501813],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9545874,0.0004450343,0.007428358,0.02902896,0.001867496,0.0009886051,0.00001160207,0.00005377085,0.005588744],"genre_scores_gemma":[0.969075,0.0001175691,0.0003821362,0.0001702176,0.0007183381,0.00003462794,0.000005071208,0.00002502097,0.02947198],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3393982,"threshold_uncertainty_score":0.9998483,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.648830462067373,"score_gpt":0.5803999903671401,"score_spread":0.06843047170023298,"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."}}