{"id":"W2059735166","doi":"10.2304/elea.2009.6.3.275","title":"Leveraging New Technologies for Professional Learning in Education: Digital Literacies as Culture Shift in Professional Development","year":2009,"lang":"en","type":"article","venue":"E-Learning and Digital Media","topic":"Education and Technology Integration","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Professional development; Curriculum; Professional learning community; Literacy; Computer science; Instructional design; Educational technology; Mathematics education; Pedagogy; Psychology; Multimedia","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002058298,0.0001243592,0.0001352741,0.0002615609,0.0003578324,0.0002992517,0.0001275286,0.0002134413,0.00002588351],"category_scores_gemma":[0.003227695,0.0001078834,0.00002374061,0.0003590303,0.0001117723,0.0007688386,0.0000341554,0.0005238905,0.0000191736],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001081287,"about_ca_system_score_gemma":0.001073999,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001833981,"about_ca_topic_score_gemma":0.00006838062,"domain_scores_codex":[0.999009,0.00003120721,0.0002352306,0.0002490993,0.0002109183,0.0002646164],"domain_scores_gemma":[0.9995369,0.0001931231,0.00009194531,0.00004528214,0.0000648204,0.00006790233],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002790051,0.0002069601,0.1026973,0.000009810874,0.000003532415,0.000002207652,0.1502324,0.00000308507,0.00001429282,0.01829532,0.001749501,0.7267577],"study_design_scores_gemma":[0.0004281077,0.00008912563,0.03474346,0.0005258704,0.000001996724,0.000005009066,0.314263,0.00001323541,0.00009224957,0.04987883,0.5996839,0.0002751921],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9643211,0.0008998818,0.00005076098,0.01778402,0.001005212,0.0003649389,0.00000124132,0.0003999483,0.0151729],"genre_scores_gemma":[0.9669695,0.00003881084,0.0005828202,0.00009610663,0.00009694004,0.00004568352,0.00009848965,0.000006156574,0.03206546],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7264825,"threshold_uncertainty_score":0.4399357,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0153883996406457,"score_gpt":0.3274320244110202,"score_spread":0.3120436247703745,"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."}}