{"id":"W3043442058","doi":"10.1177/0961463x20938593","title":"The temporalities of free knowledge work: Making time for media engagement","year":2020,"lang":"en","type":"article","venue":"Time & Society","topic":"Cultural Industries and Urban Development","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Temporalities; Temporality; Sociology; Impromptu; Digital media; Work (physics); Perspective (graphical); Public relations; Epistemology; Political science; Computer science","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.02548045,0.0005524018,0.0006290774,0.00388493,0.01953109,0.02495574,0.002854571,0.003432602,0.008118743],"category_scores_gemma":[0.04852356,0.001027867,0.0005906386,0.002529201,0.04566652,0.026331,0.02415329,0.004951567,0.001019306],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008452115,"about_ca_system_score_gemma":0.01113852,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007307712,"about_ca_topic_score_gemma":0.01170468,"domain_scores_codex":[0.9678854,0.02311609,0.0009495735,0.002063411,0.003151732,0.002833708],"domain_scores_gemma":[0.9494259,0.03446398,0.004115884,0.004226851,0.002948182,0.00481912],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00008852094,0.00003341728,0.003898738,0.0001836155,0.00001569094,0.0008164666,0.8087289,0.0001474028,0.0005969676,0.1554901,0.001658631,0.02834152],"study_design_scores_gemma":[0.00001614147,0.00005367507,0.003667811,0.0008352863,0.00002070411,0.0003901926,0.7207676,0.000260333,0.0004396571,0.09257941,0.1809129,0.00005629442],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4230253,0.006950457,0.08636139,0.06563924,0.001426632,0.0003411194,0.0002619764,0.0003275067,0.4156663],"genre_scores_gemma":[0.9858883,0.0009159639,0.005607429,0.0009125365,0.0001718959,0.0001745795,0.0000578375,0.0001180676,0.006153386],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02548045,"threshold_uncertainty_score":0.1347551,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1123195255797814,"score_gpt":0.3137747834083571,"score_spread":0.2014552578285757,"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."}}