{"id":"W1893591917","doi":"10.22230/cjc.2013v38n1a2598","title":"Young Canadians’ Apprenticeship Labour in User-Generated Content","year":2013,"lang":"en","type":"article","venue":"Canadian Journal of Communication","topic":"Digital Economy and Work Transformation","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Apprenticeship; Negotiation; Autonomy; Flexibility (engineering); Journalism; Process (computing); Politics; Production (economics); Sociology; Political science; Media studies; Social science; Computer science; Economics; Geography; Management; Law","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006429406,0.00005247494,0.0001037083,0.000227858,0.0002422669,0.0002817097,0.0004376758,0.0000631751,0.0003307208],"category_scores_gemma":[0.0001172851,0.00005652039,0.00003527288,0.0002622462,0.0001217681,0.001361973,0.0000034872,0.000171138,0.00004046594],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000377666,"about_ca_system_score_gemma":0.001285324,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6534182,"about_ca_topic_score_gemma":0.9704986,"domain_scores_codex":[0.999125,0.000187369,0.0003394693,0.00003955317,0.00008946888,0.000219132],"domain_scores_gemma":[0.9989486,0.00004734384,0.0001641147,0.0001460793,0.00028813,0.0004056834],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001648776,0.00007439471,0.3270833,0.0000236644,0.00008320297,0.00001620589,0.08505481,0.0008213912,0.00007619933,0.4608407,0.01107536,0.1148343],"study_design_scores_gemma":[0.001268479,0.00007257177,0.4484719,0.0003506156,0.00002503547,0.00001808396,0.05319557,0.0002978006,0.0001165092,0.01383853,0.4819025,0.0004423962],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9137589,0.0006389163,0.00006671011,0.01048198,0.0002060187,0.000192633,0.00000574107,0.000004662619,0.07464441],"genre_scores_gemma":[0.9985636,0.0001394695,0.0001582125,0.0002860129,0.00003639438,0.00000656786,0.000009797697,0.000004537842,0.0007953513],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4708272,"threshold_uncertainty_score":0.3621161,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03766368349891346,"score_gpt":0.2437831671756684,"score_spread":0.206119483676755,"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."}}