{"id":"W2119068251","doi":"10.1177/1468794114548945","title":"Five stories of accidental ethnography: turning unplanned moments in the field into data","year":2014,"lang":"en","type":"article","venue":"Qualitative Research","topic":"Southeast Asian Sociopolitical Studies","field":"Social Sciences","cited_by":200,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"University of Toronto; National Council for Eurasian and East European Research; Russell Sage Foundation; Woodrow Wilson International Center for Scholars","keywords":"Ethnography; Accidental; Notice; Sociology; Context (archaeology); Participant observation; Argument (complex analysis); Field (mathematics); Qualitative research; Politics; Everyday life; Aesthetics; Epistemology; Social science; Media studies; Social psychology; Psychology; History; Political science; Anthropology; Law; Art; Archaeology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.02051074,0.001384511,0.0007300618,0.003041358,0.01206516,0.007756322,0.002058455,0.002810172,0.002115668],"category_scores_gemma":[0.0417082,0.001306447,0.0008175424,0.002479613,0.02533914,0.01233719,0.01269128,0.004521722,0.0004187642],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003661878,"about_ca_system_score_gemma":0.001852826,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00338361,"about_ca_topic_score_gemma":0.006803877,"domain_scores_codex":[0.9513331,0.04294073,0.001008142,0.001068265,0.002062378,0.001587281],"domain_scores_gemma":[0.9421674,0.04568426,0.004092243,0.003776264,0.002138334,0.002141563],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00006886441,0.00001554294,0.002166245,0.0001834481,0.00001290814,0.001276114,0.97681,0.0000855227,0.0005507243,0.01039355,0.001300525,0.007136527],"study_design_scores_gemma":[0.00001052915,0.00007042655,0.001985972,0.0005288759,0.00001614054,0.001383355,0.9304867,0.0003149696,0.001135996,0.007421153,0.05660268,0.00004316728],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.8378947,0.005828365,0.09040564,0.02062588,0.0007952922,0.0008934499,0.0007254399,0.0003797002,0.04245141],"genre_scores_gemma":[0.9837348,0.001340385,0.01068651,0.0009353998,0.0001010631,0.000372043,0.0001197172,0.00008309901,0.002626931],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.02051074,"threshold_uncertainty_score":0.1084725,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3221945454977697,"score_gpt":0.6206663579474165,"score_spread":0.2984718124496468,"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."}}