{"id":"W2395553017","doi":"10.1177/160940690900800108","title":"Time Line Drawings: Enhancing Participant Voice in Narrative Interviews on Sensitive Topics","year":2009,"lang":"en","type":"article","venue":"International Journal of Qualitative Methods","topic":"Participatory Visual Research Methods","field":"Social Sciences","cited_by":66,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Line drawings; Narrative; Line (geometry); Visual arts; Space (punctuation); Participant observation; Psychology; Computer science; Art; Sociology; Engineering drawing; Literature; Engineering","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":["metaresearch"],"category_scores_codex":[0.05006279,0.0001811564,0.0005471961,0.0005303963,0.0001414109,0.0001014831,0.0005790543,0.0001010619,0.0001698497],"category_scores_gemma":[0.03469063,0.0001561411,0.0002137648,0.0004459404,0.0004128407,0.0005449317,0.00005492576,0.0006708329,0.00004094011],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006387667,"about_ca_system_score_gemma":0.0004679993,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000111202,"about_ca_topic_score_gemma":0.0001601243,"domain_scores_codex":[0.968399,0.0284328,0.001169481,0.0002410996,0.001309776,0.0004478746],"domain_scores_gemma":[0.9902114,0.007139733,0.0007171555,0.0001181741,0.00155187,0.0002617029],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.000454007,0.000325063,0.00001501172,0.000003642766,0.0001527921,0.000138056,0.877082,0.000154656,0.02654166,0.01257762,0.0002047146,0.08235076],"study_design_scores_gemma":[0.002418597,0.003543113,0.002776847,0.001446675,0.00007474196,0.00002247506,0.6984142,0.001973489,0.1414566,0.1023698,0.0447988,0.0007047007],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7601268,0.0003201495,0.1973359,0.02990456,0.001576825,0.0004236439,0.00001256301,0.00003269636,0.01026684],"genre_scores_gemma":[0.8330234,0.00007416023,0.1623806,0.002081944,0.001064909,0.000009832524,0.000001639663,0.00001501399,0.001348536],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1786678,"threshold_uncertainty_score":0.9781603,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.894504397090155,"score_gpt":0.7735642627430143,"score_spread":0.1209401343471407,"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."}}