{"id":"W4416040196","doi":"10.1007/978-3-031-95060-5_4","title":"Adapting Photovoice: Knowledge Production and Ethics","year":2025,"lang":"en","type":"book-chapter","venue":"","topic":"Participatory Visual Research Methods","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Montréal","funders":"","keywords":"Photovoice; Storytelling; Knowledge production; Work (physics); Inclusion (mineral); Production (economics); Power (physics)","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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.008701942,0.0001631202,0.0002439615,0.0001695782,0.0007934006,0.00009098235,0.0001871082,0.0006040333,0.0006820349],"category_scores_gemma":[0.01322424,0.0001613852,0.00005783437,0.00008029617,0.0007350221,0.0001182987,0.000168798,0.001199848,0.00009166689],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001987381,"about_ca_system_score_gemma":0.001680776,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003925822,"about_ca_topic_score_gemma":0.006725299,"domain_scores_codex":[0.9977534,0.0006778662,0.0002183905,0.000434961,0.0005739813,0.0003414231],"domain_scores_gemma":[0.9975739,0.001535043,0.0000840365,0.0002132652,0.0004000382,0.0001937032],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001009507,0.00001321803,0.00003916159,0.0001478293,0.00003717329,0.000002834503,0.01241178,1.230565e-7,0.0001295844,0.9435997,0.009573341,0.03403514],"study_design_scores_gemma":[0.00003809734,0.00002873166,0.00001664748,0.0003552964,0.00002588999,2.54384e-7,0.0008148031,0.00002736698,0.0002673825,0.02370468,0.9745226,0.0001982921],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00007192385,0.001116048,0.0001998391,0.001184449,0.0005577282,0.0004349796,0.000003028054,0.0001261376,0.9963059],"genre_scores_gemma":[0.001855083,0.001146915,0.00160455,0.00009364685,0.0005796289,0.00002060825,0.000001314957,0.00001835662,0.9946799],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.9649492,"threshold_uncertainty_score":0.9950878,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.7705218081719087,"score_gpt":0.6701355342991805,"score_spread":0.1003862738727282,"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."}}