{"id":"W2620386469","doi":"10.1111/tesg.12229","title":"Feeling Bodies of Knowledge: Situating Knowledge Production Through Felt Embeddedness","year":2017,"lang":"en","type":"article","venue":"Tijdschrift voor Economische en Sociale Geografie","topic":"Qualitative Research Methods and Ethics","field":"Social Sciences","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Embeddedness; Feeling; Embodied cognition; Knowledge production; Sociology; Politics; Argument (complex analysis); Negotiation; Epistemology; Aesthetics; Psychology; Social psychology; Social science; Political science; Knowledge management","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","metaepi_narrow","sts"],"consensus_categories":["sts"],"category_scores_codex":[0.01319935,0.0002850906,0.0006781276,0.0001186802,0.00446712,0.0003932365,0.001030349,0.0004539277,0.000295135],"category_scores_gemma":[0.01366926,0.0003033929,0.0003184163,0.0001609973,0.003007442,0.00126193,0.0003955103,0.0007514883,0.0002583438],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001581294,"about_ca_system_score_gemma":0.001458711,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00511318,"about_ca_topic_score_gemma":0.0119524,"domain_scores_codex":[0.9953315,0.00216226,0.0006872588,0.0006256785,0.0003506907,0.0008426449],"domain_scores_gemma":[0.9957139,0.001797122,0.0007395137,0.0006775249,0.0008683433,0.0002035453],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00009976562,0.0005202361,0.01451342,0.0006337114,0.0004252527,0.00000348158,0.5550458,0.0000259591,0.001772151,0.2857319,0.005025553,0.1362028],"study_design_scores_gemma":[0.002358239,0.0002316241,0.01719983,0.000646949,0.0001789107,0.000002055347,0.2013859,0.0002730248,0.008614117,0.10443,0.6629914,0.001687994],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5417247,0.002395206,0.0007907578,0.007726356,0.002295004,0.0008237371,0.00002873878,0.0001671738,0.4440483],"genre_scores_gemma":[0.9710758,0.001197045,0.009718768,0.00003223238,0.003246612,0.00009277992,0.000009668805,0.00005020705,0.01457688],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6579658,"threshold_uncertainty_score":0.9999418,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1760399246660985,"score_gpt":0.5037167257681199,"score_spread":0.3276768011020214,"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."}}