{"id":"W1575538308","doi":"10.1177/160940691201100506","title":"An Analytic Glossary to Social Inquiry Using Institutional and Political Activist Ethnography","year":2012,"lang":"en","type":"article","venue":"International Journal of Qualitative Methods","topic":"Qualitative Research Methods and Ethics","field":"Social Sciences","cited_by":101,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Glossary; Ethnography; Sociology; Politics; Vocabulary; Interpretation (philosophy); Resource (disambiguation); Epistemology; Social science; Linguistics; Anthropology; Computer science; Political science; Law","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"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.05265398,0.0001489056,0.0003446136,0.0006790546,0.000569739,0.000169248,0.0004594434,0.0001397752,0.0000701724],"category_scores_gemma":[0.009196167,0.0001335598,0.0001870882,0.0005079698,0.002364067,0.001374887,0.00009068137,0.0005940119,0.000002817561],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004480432,"about_ca_system_score_gemma":0.0005864138,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004858159,"about_ca_topic_score_gemma":0.00002040587,"domain_scores_codex":[0.974699,0.02247981,0.0005988791,0.0001736139,0.001503875,0.0005448735],"domain_scores_gemma":[0.9919986,0.005116049,0.0003207619,0.00007291848,0.001736981,0.0007546785],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001554583,0.0001816805,0.001104939,0.000009284299,0.0002403512,0.000007512524,0.3770331,0.000007954377,0.003272062,0.5954705,0.00007337901,0.02244379],"study_design_scores_gemma":[0.0009361745,0.0004363305,0.02185479,0.0001426201,0.0001048442,0.0000617574,0.6652622,0.0002058444,0.001284713,0.2823201,0.02686675,0.0005239131],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3357562,0.0002219694,0.6511859,0.00987546,0.001102843,0.00009501798,0.00003227982,0.00001052597,0.001719798],"genre_scores_gemma":[0.5728199,0.00001738041,0.4246056,0.0006450815,0.00188186,0.000002292116,0.00000174371,0.000009008463,0.00001707118],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.3131504,"threshold_uncertainty_score":0.9991498,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.8753096887474853,"score_gpt":0.7767258859201847,"score_spread":0.09858380282730062,"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."}}