{"id":"W4390431452","doi":"10.1002/cyo2.41","title":"Liz Przybylski. 2020. <i>Hybrid Ethnography: Online, Offline, and In Between</i>. SAGE Publications, Inc.","year":2023,"lang":"en","type":"article","venue":"CyberOrient","topic":"Focus Groups and Qualitative Methods","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Ethnography; Sociology; Representation (politics); Online and offline; Modular design; Population; Key (lock); Media studies; Computer science; Anthropology; Political science; Politics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003575238,0.001037161,0.0006904221,0.002660704,0.002169598,0.004921004,0.001474765,0.003436714,0.02118476],"category_scores_gemma":[0.004868875,0.001381313,0.000388437,0.003463728,0.00446996,0.009379888,0.002752226,0.006681734,0.01737264],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002192138,"about_ca_system_score_gemma":0.002425042,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005590238,"about_ca_topic_score_gemma":0.007919619,"domain_scores_codex":[0.9985639,0.0004763,0.00006724941,0.0001539544,0.0006717214,0.00006683025],"domain_scores_gemma":[0.9968402,0.002041963,0.0001445155,0.0001200529,0.0005514345,0.0003018041],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"qualitative","study_design_scores_codex":[0.000008096494,0.00000919486,0.00008195805,0.0003410868,0.000002812469,0.00005130448,0.002325223,0.00004917912,0.0001757902,0.01947071,0.8945742,0.08291038],"study_design_scores_gemma":[0.000005534704,0.00001065381,0.0002643802,0.0009161672,0.000003189052,0.0002045298,0.00172842,0.00008907889,0.0001765918,0.01218401,0.9844033,0.00001422605],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.001920953,0.3903787,0.05037746,0.2721254,0.03265895,0.001051333,0.002618562,0.003777845,0.2450908],"genre_scores_gemma":[0.01245855,0.2194766,0.06529355,0.05391634,0.005523904,0.002391396,0.002095668,0.002745078,0.636099],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02118476,"threshold_uncertainty_score":0.0708701,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08289254930141411,"score_gpt":0.4170403115942306,"score_spread":0.3341477622928165,"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."}}