{"id":"W1981217209","doi":"10.1353/ils.2011.0013","title":"Working with Tasks, Activities and Knowledge: The Case of the French Teacher-Librarian/Le travail entre tâches, activités et savoirs : l'exemple du professeur-documentaliste français","year":2011,"lang":"fr","type":"article","venue":"Canadian Journal of Information and Library Science","topic":"Education, sociology, and vocational training","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Humanities; Sociology; Library science; Political science; Philosophy; Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":["sts"],"category_scores_codex":[0.002007471,0.0001163199,0.0001392795,0.0001768651,0.001606551,0.0003208123,0.0004288624,0.00007743753,0.0001823622],"category_scores_gemma":[0.0001948694,0.00007563268,0.00004013053,0.0007342478,0.005583629,0.008299444,0.00003879016,0.0003327302,9.427314e-7],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004513034,"about_ca_system_score_gemma":0.007644017,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.02233927,"about_ca_topic_score_gemma":0.02744765,"domain_scores_codex":[0.9986941,0.000451585,0.0003339561,0.00009142633,0.0001654829,0.0002634145],"domain_scores_gemma":[0.9986525,0.0003510797,0.0004756268,0.0001132136,0.00009141869,0.0003162305],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.000005861414,0.00002541911,0.09033755,0.00003822606,0.00002673598,0.000004680341,0.7797825,0.000004306217,0.000003462174,0.09284468,0.002021963,0.03490464],"study_design_scores_gemma":[0.0003314764,0.00009758244,0.2279047,0.0003283462,0.00003411911,0.0005512438,0.6890944,0.00009798499,0.0001184377,0.001358262,0.07991768,0.0001658036],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.936534,0.00234183,0.0000607464,0.02230786,0.001296219,0.0001992545,0.00002263647,0.000005347447,0.03723205],"genre_scores_gemma":[0.997349,0.0002722912,0.0006189814,0.000563585,0.000191972,0.000003292608,0.000002136478,0.000004972467,0.0009937442],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1375672,"threshold_uncertainty_score":0.9996932,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07641180572910311,"score_gpt":0.296414540779499,"score_spread":0.2200027350503959,"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."}}