{"id":"W4385706927","doi":"10.1017/s0147547923000091","title":"Putting a Human Face on It: Gender and Photographic Meaning in a Canadian Women's Coal Mine Campaign","year":2023,"lang":"en","type":"article","venue":"International Labor and Working-Class History","topic":"Participatory Visual Research Methods","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of Cambridge","keywords":"Context (archaeology); Gender studies; Settlement (finance); Meaning (existential); Government (linguistics); Political science; Sociology; History; Psychology; Archaeology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002747838,0.0001120738,0.0001419419,0.0007359324,0.0003466367,0.00006656785,0.000204766,0.0000894094,0.0001782164],"category_scores_gemma":[0.000741532,0.0001262401,0.00002519644,0.0003803054,0.0003205711,0.0001049858,0.00005072782,0.0002585998,0.00001313688],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001811779,"about_ca_system_score_gemma":0.0004738028,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.06153547,"about_ca_topic_score_gemma":0.3009991,"domain_scores_codex":[0.9980017,0.0003734975,0.0001866951,0.0003065145,0.0005281504,0.0006034577],"domain_scores_gemma":[0.9989852,0.0003881437,0.00005861029,0.00008306212,0.00006702868,0.0004179926],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001004117,0.0001195413,0.4775417,0.00004129721,0.0001384487,0.000423438,0.2273217,0.0001146892,0.002771209,0.2761064,0.007481423,0.007839771],"study_design_scores_gemma":[0.0005336083,0.00006512645,0.1315039,0.000125263,0.000005420521,0.000001206233,0.01010789,0.00130309,0.00001893759,0.005020648,0.8510575,0.0002573127],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9377343,0.0001945446,0.00001273756,0.001120026,0.0005383088,0.0001635717,0.00001238139,0.00006108494,0.06016306],"genre_scores_gemma":[0.9962967,0.00005634805,0.00009791967,0.0009109817,0.0001430628,0.00007225548,0.000005320528,0.0000155835,0.002401838],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8435761,"threshold_uncertainty_score":0.9447138,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3194265610700158,"score_gpt":0.4930448725751287,"score_spread":0.1736183115051129,"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."}}