{"id":"W2618342909","doi":"","title":"When worlds collide in cyberspace: How boundary work in online social networks impacts professional relationships","year":2013,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Digital Marketing and Social Media","field":"Social Sciences","cited_by":39,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Cyberspace; Negotiation; Social psychology; Public relations; Psychology; Internet privacy; Online community; Professional boundaries; Identity (music); Boundary (topology); Social media; Social network (sociolinguistics); Boundary-work; Work (physics); Sociology; The Internet; Political science; World Wide Web; Computer science; Engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[{"model":"gemma","categories":[],"domain":null,"study_design":"observational","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"low","status":"direct model label, unvalidated"},{"model":"gpt","categories":[],"domain":null,"study_design":"observational","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"high","status":"direct model label, unvalidated"}],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":["research_integrity"],"category_scores_codex":[0.009939131,0.000345658,0.0007256087,0.0008105999,0.0007904362,0.0008232344,0.0009081675,0.001407031,0.0001076087],"category_scores_gemma":[0.007796288,0.0004005446,0.0001818468,0.0007816877,0.00121828,0.0004070131,0.0009035773,0.005693479,0.00001009891],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004208748,"about_ca_system_score_gemma":0.003854201,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002057041,"about_ca_topic_score_gemma":0.1349496,"domain_scores_codex":[0.9928123,0.003315801,0.000731251,0.0008691952,0.0006967113,0.001574678],"domain_scores_gemma":[0.9951543,0.00354302,0.0003257189,0.0004039031,0.0001851216,0.000388003],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006740052,0.001098501,0.6481938,0.0001846452,0.0001030885,0.000119256,0.0982721,0.004484959,0.000001509764,0.003831274,0.01114109,0.2318957],"study_design_scores_gemma":[0.001791746,0.00005934187,0.7520384,0.002982848,0.00001160007,8.471088e-7,0.0967693,0.002599595,4.02228e-7,0.03233046,0.1099791,0.001436327],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8930071,0.0002705449,5.570319e-7,0.01636497,0.001485231,0.001556107,0.00005580583,0.00006109209,0.08719861],"genre_scores_gemma":[0.9754738,0.002977513,0.0005828714,0.0001092028,0.001473142,0.0003940767,0.0001753592,0.00006978176,0.01874424],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2304594,"threshold_uncertainty_score":0.9998894,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05325973091547059,"score_gpt":0.3530435027261852,"score_spread":0.2997837718107146,"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."}}