{"id":"W4385546036","doi":"10.36367/ntqr.16.2023.e825","title":"Qualitative Research for Interdisciplinary Studies: Multiple Methodologies for Multiple Disciplines","year":2023,"lang":"en","type":"article","venue":"New Trends in Qualitative Research","topic":"Interdisciplinary Research and Collaboration","field":"Decision Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Universidade do Porto; Inyuvesi Yakwazulu-Natali; Université de Strasbourg; Mokwon University; Western Michigan University; University of West Georgia; Queen's University; University of Pittsburgh; University of Southampton; Escola Superior de Enfermagem de Coimbra; McGill University","keywords":"Qualitative research; Sociology; Meaning (existential); Context (archaeology); Conversation; Engineering ethics; Epistemology; Perception; Social science; Engineering","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.3207463,0.002719981,0.004212833,0.01021433,0.01049545,0.01670707,0.005904522,0.004970903,0.01721524],"category_scores_gemma":[0.2943509,0.002547787,0.003395415,0.01510061,0.02002963,0.01022534,0.01915429,0.01599724,0.004334334],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01023136,"about_ca_system_score_gemma":0.03141789,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002344928,"about_ca_topic_score_gemma":0.004522082,"domain_scores_codex":[0.4538375,0.5052325,0.01431768,0.006217752,0.01901509,0.001379534],"domain_scores_gemma":[0.4618452,0.4549907,0.00962179,0.03982013,0.02945498,0.004267173],"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":[0.0003693375,0.000329046,0.001163325,0.02393984,0.0006158593,0.0005596802,0.1459187,0.001407587,0.002921452,0.3680798,0.09086575,0.3638297],"study_design_scores_gemma":[0.0003753549,0.0003265447,0.001092584,0.02818271,0.0002448998,0.0008859377,0.03788809,0.002731313,0.001566146,0.3092142,0.6170874,0.0004048329],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.002125383,0.01683179,0.9007416,0.02587823,0.006241923,0.02334687,0.001010316,0.001057494,0.02276634],"genre_scores_gemma":[0.0108469,0.005604947,0.9435098,0.002838486,0.0005966651,0.03435634,0.0002592138,0.000364824,0.001622774],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.6792537,"threshold_uncertainty_score":0.8376408,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.9354603533201556,"score_gpt":0.8051812811075844,"score_spread":0.1302790722125713,"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."}}