{"id":"W7020581204","doi":"","title":"Limits of generalizing in education research: Why criteria for research generalization should include population heterogeneity and users of knowledge claims","year":2014,"lang":"en","type":"article","venue":"Griffith Research Online (Griffith University, Queensland, Australia)","topic":"Psychometric Methodologies and Testing","field":"Decision Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Generalization; Representativeness heuristic; Population; Probabilistic logic; Sample (material); Essentialism; Neglect","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.6084282,0.002309409,0.006555812,0.0108459,0.01108957,0.01785395,0.01253027,0.01647851,0.004480287],"category_scores_gemma":[0.7479925,0.002558198,0.005439084,0.009390021,0.1074044,0.05075244,0.02403232,0.02720209,0.00124235],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02062424,"about_ca_system_score_gemma":0.01811569,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006393077,"about_ca_topic_score_gemma":0.00317572,"domain_scores_codex":[0.3307319,0.4998539,0.05320722,0.0357894,0.07519812,0.005219409],"domain_scores_gemma":[0.1155257,0.7464598,0.03286021,0.06318379,0.03941554,0.002555046],"domain_codex":"methods","domain_gemma":"methods","domain_candidate":"methods","domain_consensus":"methods","study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0003597072,0.0001384526,0.006802949,0.003986704,0.0005306787,0.0003689288,0.04846919,0.00231562,0.0003233657,0.8667654,0.01012055,0.05981834],"study_design_scores_gemma":[0.0001473304,0.0001469214,0.00256766,0.003238599,0.0001376645,0.0002486422,0.005842912,0.00273813,0.0005339087,0.9697456,0.014503,0.0001496645],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.04272769,0.03090147,0.4691927,0.3963462,0.005521053,0.004257328,0.0004674001,0.0007314618,0.04985468],"genre_scores_gemma":[0.6979673,0.004506292,0.233499,0.04924857,0.003357061,0.009389112,0.0002350243,0.0003788481,0.001418796],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.3915718,"threshold_uncertainty_score":0.4828777,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.8487840553327511,"score_gpt":0.6255744716843369,"score_spread":0.2232095836484143,"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."}}