{"id":"W2283693298","doi":"10.2139/ssrn.2485880","title":"A Frame Analysis Approach to Examining Conflicting Constructions of Rights-Based Maternal Health Policy Agendas in India","year":2014,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Gender Politics and Representation","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Guelph","funders":"","keywords":"Frame analysis; Frame (networking); Political science; Maternal health; Sociology; Environmental health; Computer science; Social science; Medicine; Content analysis; Health services; Telecommunications","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01450663,0.000549941,0.0005685984,0.005510424,0.01670324,0.01494296,0.002879885,0.002713693,0.006525009],"category_scores_gemma":[0.01637137,0.0007229022,0.0005499096,0.006831117,0.02868463,0.008217897,0.006519293,0.004812463,0.0002967369],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0239523,"about_ca_system_score_gemma":0.01143945,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0447303,"about_ca_topic_score_gemma":0.05962118,"domain_scores_codex":[0.9819842,0.01456954,0.0002740314,0.0005622163,0.001112693,0.001497295],"domain_scores_gemma":[0.9849472,0.01167274,0.0009602832,0.0008285113,0.00115244,0.0004388527],"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":[0.00001754874,0.000009569764,0.0004674649,0.00002353963,0.000004284772,0.00009043477,0.11104,0.0001192167,0.0001129566,0.8848186,0.0005219782,0.00277435],"study_design_scores_gemma":[0.00003736095,0.00003939827,0.002477614,0.0003736778,0.00005337982,0.0001548006,0.5406926,0.002194399,0.0009758436,0.3970138,0.05594433,0.00004290147],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3706736,0.00165847,0.08874065,0.03987377,0.000378854,0.0004504506,0.0004323884,0.00006660845,0.4977253],"genre_scores_gemma":[0.988651,0.0001951932,0.006916504,0.0003802129,0.00002559658,0.0002037611,0.00004219064,0.00003255229,0.003553037],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0447303,"threshold_uncertainty_score":0.1737869,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02589367186981012,"score_gpt":0.3582438238331397,"score_spread":0.3323501519633296,"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."}}