{"id":"W1873958385","doi":"10.1111/ntwe.12010","title":"Remixing work, family and leisure: teleworkers' experiences of everyday life","year":2013,"lang":"en","type":"article","venue":"New Technology Work and Employment","topic":"Work-Family Balance Challenges","field":"Social Sciences","cited_by":114,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Work (physics); Flexibility (engineering); Thematic analysis; Everyday life; Devaluation; Family life; Psychology; Space (punctuation); Leisure time; Sociology; Qualitative research; Gender studies; Business; Physical activity; Political science; Management; Engineering; Social science","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":[0.001400618,0.000199796,0.000247422,0.0006683261,0.003717228,0.002453411,0.0004468311,0.0009038192,0.002853944],"category_scores_gemma":[0.003148627,0.0002630155,0.0002110921,0.0005115945,0.0040687,0.001895093,0.002480841,0.0008940068,0.0001823607],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009803673,"about_ca_system_score_gemma":0.0008672936,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002898537,"about_ca_topic_score_gemma":0.005479607,"domain_scores_codex":[0.9988433,0.000704697,0.00004023609,0.00009066944,0.0001191483,0.0002018958],"domain_scores_gemma":[0.9979272,0.001160651,0.0003102972,0.0001374018,0.0001081905,0.0003564],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.000109475,0.00009760405,0.02665997,0.000101173,0.000009391553,0.002064844,0.9419025,0.00009433729,0.00206223,0.001097572,0.0008344533,0.02496644],"study_design_scores_gemma":[0.000006731536,0.0001079236,0.01503731,0.00006858654,0.000004436389,0.0009673437,0.9736482,0.0000520443,0.0001887957,0.000333459,0.009570112,0.00001504619],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9939582,0.0003085557,0.0005392645,0.0004928987,0.00002786639,0.000008592704,0.00001458716,0.000007716081,0.004642276],"genre_scores_gemma":[0.9983006,0.0001585202,0.0001201049,0.00006048396,0.00000936303,0.00001150238,0.000007083544,0.000003447178,0.001328875],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003717228,"threshold_uncertainty_score":0.009547353,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02232173961616034,"score_gpt":0.26717880380884,"score_spread":0.2448570641926796,"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."}}