{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","insufficient_payload"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.1237473,0.00007601793,0.0003260754,0.0008254117,0.0001011294,0.00006104937,0.0002947686,0.00006238579,0.003974897],"category_scores_gemma":[0.05347765,0.00005885717,0.00007578693,0.004820862,0.00007870713,0.0003281501,0.00007010957,0.0001643374,0.0001193963],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001942039,"about_ca_system_score_gemma":0.0007832148,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001954656,"about_ca_topic_score_gemma":0.00008094717,"domain_scores_codex":[0.9825403,0.01215385,0.001455338,0.0003983249,0.003265872,0.0001862961],"domain_scores_gemma":[0.9918004,0.002914638,0.0001820613,0.0005307549,0.004536528,0.00003567457],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000009694826,0.00007889364,0.001758325,0.0003373392,0.000005509396,9.647043e-8,0.0001181221,0.0004529586,0.001231755,0.04759291,0.01839804,0.9300163],"study_design_scores_gemma":[0.0009645883,0.0001486285,0.09582551,0.004445506,0.0001155571,0.000001949782,0.0004482165,0.2964904,0.004209167,0.3791482,0.217993,0.0002093143],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02642872,0.2161309,0.3893906,0.07450326,0.004043583,0.006459859,0.000007251276,0.00006773447,0.2829681],"genre_scores_gemma":[0.8900823,0.03489848,0.06545601,0.004164876,0.0001142427,0.001122667,0.00005305173,0.00001684691,0.004091512],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9298071,"threshold_uncertainty_score":0.9969356,"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."}}