{"id":"W4308644653","doi":"10.17742/image.tp.13.2.4","title":"Gender and Migration: Resisting with a Camera. A Researcher to Researcher Experience","year":2022,"lang":"en","type":"article","venue":"Imaginations Journal of Cross-Cultural Image Studies","topic":"Participatory Visual Research Methods","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Photovoice; Situated; Reflexivity; Narrative; Resistance (ecology); Construct (python library); Sociology; Power (physics); Visibility; Observer (physics); Gender studies; Visual arts; Computer science; Social science; Art; Artificial intelligence","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":["metaresearch","sts","scholarly_communication"],"consensus_categories":["sts"],"category_scores_codex":[0.006643126,0.0001321211,0.0002559609,0.0002926255,0.003961841,0.001694926,0.0004469251,0.0000192953,0.0001838506],"category_scores_gemma":[0.02585491,0.00009758971,0.00005999918,0.001205315,0.00654815,0.005107717,0.0004200846,0.000585689,0.000004293086],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005422939,"about_ca_system_score_gemma":0.0005279025,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003850293,"about_ca_topic_score_gemma":0.0003371415,"domain_scores_codex":[0.9950913,0.001712079,0.0003861491,0.000250254,0.001992619,0.0005676292],"domain_scores_gemma":[0.9857165,0.0008410447,0.0001918664,0.0001508528,0.01275614,0.0003435535],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0009479855,0.0003688421,0.08299485,0.0000995691,0.0005410826,0.0006704548,0.7794094,0.0001887735,0.04155878,0.05465927,0.02736436,0.0111966],"study_design_scores_gemma":[0.001545689,0.0009132924,0.1471112,0.0001006189,0.00005625892,0.0001549565,0.5475235,0.00009952739,0.002526429,0.008522356,0.2909173,0.0005288934],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9610736,0.002601599,0.0004763063,0.01768121,0.000106187,0.0003730279,0.00001814233,0.00002551099,0.01764436],"genre_scores_gemma":[0.9767302,0.0002078133,0.01959378,0.0001654905,0.0001811641,0.000152838,7.349023e-7,0.00001390526,0.002954077],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.263553,"threshold_uncertainty_score":0.9993414,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.6316915716970529,"score_gpt":0.6976925806407547,"score_spread":0.06600100894370176,"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."}}