{"id":"W4294957974","doi":"10.14506/ca37.3.11","title":"Why Do “Good” Pictures Matter in Anthropology?","year":2022,"lang":"en","type":"article","venue":"Cultural Anthropology","topic":"Geographies of human-animal interactions","field":"Social Sciences","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Centre National de la Recherche Scientifique; Society for Visual Anthropology; École des Hautes Etudes en Sciences Sociales","keywords":"Representation (politics); Ethnography; Sociology; Subject (documents); Object (grammar); Humanities; Visual anthropology; Experiential learning; Politics; Anthropology; Art; Philosophy; Linguistics; Political science","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":["sts"],"consensus_categories":[],"category_scores_codex":[0.02374145,0.0006675285,0.0006133629,0.002956503,0.008941115,0.01334276,0.001140169,0.004231983,0.008025573],"category_scores_gemma":[0.03836609,0.0006585199,0.0004247684,0.002504686,0.05628815,0.02867216,0.008291128,0.005088277,0.0008074409],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007720551,"about_ca_system_score_gemma":0.002356119,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01409905,"about_ca_topic_score_gemma":0.01409903,"domain_scores_codex":[0.9755836,0.02020988,0.000428481,0.001547877,0.001523658,0.0007066118],"domain_scores_gemma":[0.9772208,0.01769873,0.001090316,0.001969177,0.001340914,0.0006801153],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001111834,0.00002677977,0.003857418,0.0006491712,0.00004000359,0.0002688595,0.3211796,0.0001630683,0.0004488038,0.612057,0.01516396,0.04603421],"study_design_scores_gemma":[0.00005452952,0.00008846643,0.006435698,0.002040576,0.00006779535,0.0005470998,0.3615412,0.0002966264,0.0006604229,0.2378367,0.3903604,0.00007065875],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.1518059,0.07650713,0.03277799,0.4360089,0.006798134,0.0001738887,0.0002522294,0.0001893551,0.2954865],"genre_scores_gemma":[0.9603094,0.01065148,0.00449856,0.01416863,0.001493599,0.0001420736,0.00004310718,0.0001936107,0.008499552],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9910589,"threshold_uncertainty_score":0.1255583,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02884464080336584,"score_gpt":0.3662153194574757,"score_spread":0.3373706786541099,"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."}}