{"id":"W2026916269","doi":"10.1080/13614560701709861","title":"Designing for privacy in personal learning spaces","year":2007,"lang":"en","type":"article","venue":"New Review of Hypermedia and Multimedia","topic":"Personal Information Management and User Behavior","field":"Decision Sciences","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Computer science; Personally identifiable information; Grounded theory; Internet privacy; Space (punctuation); Information sharing; Group information management; Information privacy; Privacy by Design; Personal information management; Knowledge management; Data science; Information system; World Wide Web; Management information systems; Computer security; Qualitative research; Sociology","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":[0.01509403,0.0004299541,0.0004356802,0.0009900621,0.004003861,0.00653133,0.001533615,0.001896857,0.001828061],"category_scores_gemma":[0.04604477,0.0003598087,0.0005957329,0.00105729,0.005244232,0.007166547,0.00401428,0.00155399,0.000288552],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001492788,"about_ca_system_score_gemma":0.002416044,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009773015,"about_ca_topic_score_gemma":0.001140459,"domain_scores_codex":[0.9650298,0.02758915,0.0009527153,0.001407491,0.003867992,0.00115282],"domain_scores_gemma":[0.9302526,0.05022625,0.007535683,0.008260071,0.002559586,0.001165964],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0005828757,0.001744369,0.08765806,0.001311747,0.00021374,0.001514791,0.4473326,0.01057893,0.02284079,0.1360174,0.002425746,0.2877789],"study_design_scores_gemma":[0.0004011205,0.003021978,0.06318514,0.0008759243,0.0003872669,0.003995499,0.3868706,0.0648381,0.05889572,0.2529131,0.1641368,0.0004787808],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8820754,0.0003498874,0.1039881,0.001388842,0.00001919868,0.000347448,0.00002974389,0.0001775704,0.01162382],"genre_scores_gemma":[0.9756068,0.0001160851,0.02316414,0.00008850106,0.000007442731,0.0001176503,0.00001684554,0.00001460146,0.0008679708],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01509403,"threshold_uncertainty_score":0.07982582,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1953173299767476,"score_gpt":0.4418878966552672,"score_spread":0.2465705666785196,"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."}}