{"id":"W2587402479","doi":"10.29173/cais36","title":"Role Representation in Advertisements for Library Technology: Who is Representing What and for Whom?","year":2013,"lang":"en","type":"article","venue":"Proceedings of the Annual Conference of CAIS / Actes du congrès annuel de l ACSI","topic":"Library Science and Information Literacy","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Representation (politics); Work (physics); Advertising; Academic library; Marketing; Sociology; Business; Computer science; Political science; Engineering; Library science; Law","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"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":[0.007146196,0.0002703585,0.0003515296,0.000974073,0.007010026,0.01182993,0.0007837131,0.002894416,0.004134323],"category_scores_gemma":[0.01707623,0.0002920347,0.0002525137,0.0008771101,0.009021132,0.008756241,0.001887445,0.003251012,0.001162179],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004822723,"about_ca_system_score_gemma":0.004653579,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05426659,"about_ca_topic_score_gemma":0.05324321,"domain_scores_codex":[0.9909592,0.006955966,0.0001728703,0.0002762734,0.000864101,0.0007716938],"domain_scores_gemma":[0.9905122,0.004617738,0.001174053,0.0003149618,0.002351737,0.00102936],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001166491,0.00006078307,0.01112785,0.0001641116,0.000008134337,0.0004342318,0.9022309,0.00002797839,0.0009688754,0.02638781,0.01962434,0.03884843],"study_design_scores_gemma":[0.00001206704,0.00003664041,0.007709998,0.0003416853,0.00002386439,0.0004137116,0.8961024,0.0002286453,0.00062268,0.004045909,0.09042188,0.00004058823],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4944139,0.00608144,0.006253452,0.2111034,0.001360981,0.00006427226,0.0001174919,0.0001467654,0.2804584],"genre_scores_gemma":[0.9833593,0.001198754,0.0005132133,0.0046698,0.0001430524,0.00001326336,0.00001703789,0.00004038601,0.01004517],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05426659,"threshold_uncertainty_score":0.1079014,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02236404185670569,"score_gpt":0.2864418523748855,"score_spread":0.2640778105181797,"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."}}