{"id":"W2961893681","doi":"10.1080/01490400.2019.1578708","title":"The go-along interview: a valuable tool for leisure research","year":2019,"lang":"en","type":"article","venue":"Leisure Sciences","topic":"Recreation, Leisure, Wilderness Management","field":"Psychology","cited_by":49,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba; Dalhousie University; University of Waterloo","funders":"","keywords":"Situated; Ethnography; Participant observation; Data collection; Sample (material); Interview; Protocol (science); Research ethics; Psychology; Sociology; Applied psychology; Qualitative research; Mental health; Power (physics); Medical education; Public relations; Computer science; Medicine; Social science; Alternative medicine; Psychotherapist","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":[],"consensus_categories":[],"category_scores_codex":[0.05243461,0.001147673,0.00124418,0.006478714,0.009733788,0.007452897,0.00278736,0.003365035,0.01368294],"category_scores_gemma":[0.0774748,0.0009159396,0.0007984762,0.006939907,0.00821463,0.009371437,0.01370853,0.00522399,0.006138505],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00189401,"about_ca_system_score_gemma":0.0066818,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00160165,"about_ca_topic_score_gemma":0.007316874,"domain_scores_codex":[0.9097611,0.08281134,0.001653415,0.00128819,0.003677395,0.0008084797],"domain_scores_gemma":[0.8760312,0.0986719,0.004087972,0.01194032,0.005655234,0.003613397],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0003099771,0.0001991245,0.00243157,0.002698635,0.00004489705,0.00173461,0.5211638,0.0003064652,0.005619517,0.0600225,0.1145946,0.2908743],"study_design_scores_gemma":[0.00005796547,0.0002285079,0.002010688,0.00329085,0.0000237317,0.002591987,0.1849926,0.0005930176,0.001559279,0.03211746,0.772329,0.0002049084],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.04355579,0.005998478,0.7568725,0.03004419,0.004502595,0.007406701,0.002765971,0.004263051,0.1445907],"genre_scores_gemma":[0.1322409,0.004513165,0.8124325,0.006473608,0.001095896,0.01382449,0.000855365,0.001241871,0.0273222],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.05243461,"threshold_uncertainty_score":0.2773041,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1383963337645482,"score_gpt":0.4407708782320467,"score_spread":0.3023745444674985,"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."}}