{"id":"W2789885869","doi":"","title":"Avoiding ecological fallacy: assessing school and teacher effectiveness using HLM and TIMSS data from British Columbia and Ontario","year":2012,"lang":"en","type":"dissertation","venue":"Mspace (University of Manitoba)","topic":"School Choice and Performance","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Fallacy; Mathematics education; Geography; Ecology; Psychology; Biology; Epistemology","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":[0.005154601,0.0004290432,0.001187366,0.004470627,0.005903749,0.002450589,0.002261017,0.0005450649,0.002643557],"category_scores_gemma":[0.01939472,0.0005715619,0.00056236,0.01594694,0.001455544,0.0009814926,0.001971912,0.0009415595,0.000413637],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04808192,"about_ca_system_score_gemma":0.04989262,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9975814,"about_ca_topic_score_gemma":0.9990852,"domain_scores_codex":[0.9950206,0.001041556,0.000329163,0.0005591493,0.002297091,0.0007524308],"domain_scores_gemma":[0.9837832,0.003344066,0.001705645,0.001266168,0.008789884,0.001111046],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001125933,0.00007459995,0.9553208,0.0001589426,0.0001773293,0.0001470015,0.0117151,0.001025798,0.000301279,0.00171888,0.004797199,0.02445059],"study_design_scores_gemma":[0.000007653871,0.00001345809,0.9860197,0.00005397595,0.0000336243,0.0000129159,0.008573175,0.0008153566,0.0001374837,0.0001436598,0.00416866,0.00002026161],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9790415,0.0004654368,0.001097612,0.0006175407,0.00001554669,0.000147167,0.007125089,0.00003224412,0.01145784],"genre_scores_gemma":[0.9835528,0.0004029401,0.002436823,0.0001328558,0.000008230756,0.000292684,0.00720072,0.00003865056,0.005934306],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04808192,"threshold_uncertainty_score":0.3488604,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05122416416578954,"score_gpt":0.2832336267506895,"score_spread":0.2320094625849,"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."}}