{"id":"W4409153149","doi":"10.1177/0193841x251331723","title":"A Critical Reflection of Generalization in Mixed Methods Research","year":2025,"lang":"en","type":"article","venue":"Evaluation Review","topic":"Evaluation and Performance Assessment","field":"Decision Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Centre for Interdisciplinary Research in Rehabilitation","funders":"","keywords":"Generalization; Constructive; Multimethodology; Relevance (law); Management science; Computer science; Reflection (computer programming); Psychology; Epistemology; Mathematics education; Process (computing); Political science","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":[0.6921039,0.002585658,0.004043718,0.007271818,0.01454847,0.02478252,0.008642348,0.02015315,0.002500152],"category_scores_gemma":[0.7456506,0.002886139,0.004632846,0.004786569,0.08621913,0.04638441,0.02342785,0.06103022,0.000871579],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02790119,"about_ca_system_score_gemma":0.04766,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00390218,"about_ca_topic_score_gemma":0.002933888,"domain_scores_codex":[0.1852856,0.6984974,0.04219618,0.01655218,0.05401158,0.003457067],"domain_scores_gemma":[0.1111291,0.7448978,0.01748067,0.05927533,0.06471221,0.002504895],"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":[0.0002780281,0.00013995,0.001515746,0.009278689,0.0003104791,0.001071708,0.2569403,0.001191081,0.001831323,0.5890148,0.04048135,0.09794649],"study_design_scores_gemma":[0.0002217743,0.0004255011,0.001190564,0.02987457,0.0003144752,0.001922274,0.05733798,0.004186877,0.007962887,0.4918624,0.4043293,0.0003713437],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"commentary","genre_gemma":"methods","genre_scores_codex":[0.007424458,0.02051372,0.2502686,0.6918397,0.01496932,0.002460383,0.00008825384,0.0002974595,0.01213808],"genre_scores_gemma":[0.2958269,0.01492676,0.4299557,0.235182,0.006831939,0.01262025,0.00007777008,0.0006904249,0.003888228],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.3078961,"threshold_uncertainty_score":0.3796907,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.7561451234814716,"score_gpt":0.7902642498582428,"score_spread":0.03411912637677128,"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."}}