{"id":"W2326487598","doi":"10.1080/17441692.2016.1169307","title":"What’s a Cellphilm? Integrating mobile phone technology into participatory visual research and activism","year":2016,"lang":"en","type":"article","venue":"Global Public Health","topic":"Participatory Visual Research Methods","field":"Social Sciences","cited_by":50,"is_retracted":false,"has_abstract":true,"ca_institutions":"Wilfrid Laurier University","funders":"","keywords":"Mobile phone; Visual research; Citizen journalism; Participatory design; Mobile technology; Sociology; Phone; Participatory action research; Internet privacy; Public relations; Computer science; Political science; Psychology; Mobile device; World Wide Web; Linguistics; Visual arts; Engineering; Art","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.02492974,0.000596627,0.0006202562,0.002534998,0.007199771,0.01490622,0.0013891,0.00453498,0.005679145],"category_scores_gemma":[0.0242203,0.000405368,0.0005795604,0.002326104,0.03098547,0.01856559,0.01085445,0.003724884,0.001169553],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00252453,"about_ca_system_score_gemma":0.003163863,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001485424,"about_ca_topic_score_gemma":0.002447406,"domain_scores_codex":[0.967911,0.02753891,0.000376772,0.001310061,0.002026181,0.0008371526],"domain_scores_gemma":[0.9819044,0.01356255,0.0007584114,0.001785859,0.0009751582,0.001013551],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.0002133455,0.000162659,0.00442965,0.001302863,0.00008411596,0.0005211927,0.3461847,0.0002114038,0.003780731,0.4608261,0.01924049,0.1630428],"study_design_scores_gemma":[0.00007063738,0.0003687109,0.002561862,0.002055374,0.00007374107,0.0007899455,0.1750778,0.0007255781,0.003056556,0.3042418,0.5108904,0.00008750873],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"methods","genre_scores_codex":[0.1387858,0.03294975,0.1867706,0.2876434,0.006598061,0.001139261,0.000309719,0.0006819033,0.3451216],"genre_scores_gemma":[0.8699436,0.01002661,0.06780671,0.02763133,0.001718943,0.001566392,0.00008937803,0.0002851722,0.02093203],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9750702,"threshold_uncertainty_score":0.1318426,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.6443598333281987,"score_gpt":0.6778261059051818,"score_spread":0.03346627257698309,"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."}}