{"id":"W243074162","doi":"10.3138/cjfs.17.2.35","title":"Deepa Mehta’s Film Water: The Power of the Dialectical Image","year":2008,"lang":"fr","type":"article","venue":"Canadian Journal of Film Studies","topic":"South Asian Cinema and Culture","field":"Arts and Humanities","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Humanities; Art; Subversion; Sociology; Political science; Politics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts","insufficient_payload"],"consensus_categories":["sts"],"category_scores_codex":[0.0002787842,0.0002417449,0.000465331,0.00008420432,0.001929392,0.00008943352,0.000471456,0.00008781048,0.003387144],"category_scores_gemma":[0.0003871872,0.0001082766,0.0004399993,0.00008303802,0.003159414,0.0001697781,0.00004481801,0.0005564552,0.00007436773],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001149539,"about_ca_system_score_gemma":0.0006453181,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002902248,"about_ca_topic_score_gemma":0.05408074,"domain_scores_codex":[0.9983285,0.0001761061,0.0005579094,0.0001217095,0.0002817759,0.0005340056],"domain_scores_gemma":[0.9982942,0.0001320884,0.000245766,0.0002572146,0.0007692896,0.0003014316],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000229624,0.00003341546,0.001923365,0.00006870308,0.000848347,0.0004858595,0.4133881,0.00001542137,0.00003344057,0.017536,0.5654173,0.0002270885],"study_design_scores_gemma":[0.0004303423,0.0002303282,0.00520322,0.000285267,0.0003395588,0.0006475136,0.1181049,0.000002785787,0.000313245,0.001502207,0.8727356,0.000205023],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5026817,0.2033301,0.000004641925,0.1313128,0.01726418,0.0004265226,0.0005054602,0.000008927003,0.1444657],"genre_scores_gemma":[0.9510552,0.0008940136,0.00002037212,0.0008988414,0.001437416,0.000002969779,8.59769e-7,0.00002223904,0.04566812],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4483735,"threshold_uncertainty_score":0.9995534,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02996583615223079,"score_gpt":0.2259624086488955,"score_spread":0.1959965724966647,"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."}}