{"id":"W4250496317","doi":"10.29173/irie356","title":"Teaching Information Ethics in Higher Education: A Crash Course in Academic Labour","year":2010,"lang":"en","type":"article","venue":"The International Review of Information Ethics","topic":"Library Science and Administration","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Intellectual freedom; Sociology; Academic freedom; Higher education; Citizenship; Context (archaeology); Curriculum; Information ethics; Pedagogy; Vision; Politics; Public relations; Political science; Engineering ethics; Censorship; Law; Engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.01129973,0.0002724256,0.0003923893,0.001187836,0.01732891,0.01328465,0.001759588,0.003442197,0.01166916],"category_scores_gemma":[0.02283076,0.0002598555,0.000467596,0.00141265,0.02516823,0.01330437,0.02295505,0.009420071,0.001565576],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01034178,"about_ca_system_score_gemma":0.00697572,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004228727,"about_ca_topic_score_gemma":0.006978408,"domain_scores_codex":[0.9909896,0.005891155,0.0001713884,0.0003722229,0.001286982,0.001288617],"domain_scores_gemma":[0.983762,0.009706566,0.0007303467,0.0008246891,0.00122114,0.003755287],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001020561,0.0004367706,0.006791412,0.0001999504,0.000008728612,0.0009784217,0.4970557,0.0003873715,0.0007199522,0.3586046,0.0425153,0.09219972],"study_design_scores_gemma":[0.00004758628,0.0002216633,0.005074324,0.0004576784,0.000005340993,0.0004394554,0.6031405,0.0007350807,0.000590354,0.08577496,0.3034671,0.00004590927],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5086407,0.004638616,0.01632063,0.3362142,0.00296652,0.000191152,0.00005872798,0.0001531303,0.1308163],"genre_scores_gemma":[0.957572,0.001414067,0.002489212,0.01397801,0.0005054051,0.0001731908,0.0000192664,0.0001072534,0.02374156],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01732891,"threshold_uncertainty_score":0.07503521,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08481030514373239,"score_gpt":0.4437305995044823,"score_spread":0.35892029436075,"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."}}