{"id":"W2106236920","doi":"","title":"Meeting the Challenge of Providing Flexible Learning Opportunities: Considerations for Technology Adoption amongst Academic Staff (Relever le défi de fournir des occasions d'apprentissage flexibles: considérations pour l'adoption de la technologie par le personnel universitaire).","year":2015,"lang":"fr","type":"article","venue":"Canadian Journal of Learning and Technology","topic":"Online and Blended Learning","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Affordance; Assertion; Technology integration; Resistance (ecology); Information technology; Higher education; Pedagogy; Educational technology; Psychology; Sociology; Political science; 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":["metaepi_narrow","sts","research_integrity"],"consensus_categories":["sts"],"category_scores_codex":[0.003341208,0.0002500744,0.0004433117,0.00143735,0.003365052,0.000102183,0.000360827,0.001199587,0.00002596301],"category_scores_gemma":[0.007183751,0.0002583897,0.0001239289,0.0009883216,0.003864218,0.0005053504,0.00008449682,0.002715515,0.000001698668],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005335449,"about_ca_system_score_gemma":0.01341366,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001062135,"about_ca_topic_score_gemma":0.005612357,"domain_scores_codex":[0.9972581,0.0008017237,0.0006028821,0.000283911,0.0001831623,0.0008701679],"domain_scores_gemma":[0.9966431,0.001020155,0.0009153361,0.0001469763,0.0008936881,0.0003806905],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.00004635369,0.0002234894,0.06921989,0.0002709282,0.0004545287,0.0003255027,0.04065042,0.02365116,0.003431075,0.7064749,0.00213716,0.1531146],"study_design_scores_gemma":[0.0009248089,0.0008495362,0.00002356946,0.0007879215,0.0002143226,0.0005712015,0.829239,0.002654774,0.000855739,0.07350288,0.09010868,0.0002675901],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.839003,0.01674508,0.01723364,0.1224462,0.0002380474,0.0004187257,0.0000200723,0.0002617232,0.003633491],"genre_scores_gemma":[0.9752037,0.003819182,0.01894016,0.00001016709,0.0001468556,0.00001675949,0.000004808647,0.00003764705,0.001820727],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7885885,"threshold_uncertainty_score":0.9999868,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07821680338557892,"score_gpt":0.3066078306281274,"score_spread":0.2283910272425485,"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."}}