{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0025201,0.0002290055,0.0002429193,0.001102365,0.004819748,0.01179569,0.0007253641,0.001540635,0.007406922],"category_scores_gemma":[0.01351981,0.0003020419,0.0003691885,0.0007673706,0.005384387,0.008315247,0.006050429,0.001664354,0.0007752008],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001716879,"about_ca_system_score_gemma":0.001357365,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00391806,"about_ca_topic_score_gemma":0.006174795,"domain_scores_codex":[0.9961204,0.002319471,0.00009045038,0.0003709076,0.0004416496,0.0006570664],"domain_scores_gemma":[0.9917669,0.003818425,0.001593019,0.0004180906,0.0005229586,0.001880718],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.0003919482,0.001015552,0.3552289,0.0001950336,0.0001260844,0.001474199,0.4958625,0.001226324,0.003422051,0.06196813,0.003864159,0.07522514],"study_design_scores_gemma":[0.00003680137,0.0002286301,0.2445818,0.0002115476,0.00008020241,0.0005602222,0.6834088,0.002232345,0.0008911252,0.04810371,0.01958644,0.00007843864],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9637003,0.0002066668,0.001247917,0.002176727,0.00003008265,0.0000201461,0.00002543174,0.00001549386,0.03257721],"genre_scores_gemma":[0.9987279,0.00007457616,0.0002087171,0.0001033251,0.00000669453,0.000007975756,0.00001343442,0.00001048008,0.0008469946],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01179569,"threshold_uncertainty_score":0.0247786,"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."}}