{"id":"W2743212847","doi":"10.20360/g2gm35","title":"The Techno-literacy Practices of Young Children from Diverse Backgrounds","year":2017,"lang":"en","type":"article","venue":"Language and Literacy","topic":"Child Development and Digital Technology","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Ethnography; Literacy; Refugee; Sociology; Digital literacy; Class (philosophy); Family literacy; Information literacy; Pedagogy; Political science; Computer science; Anthropology","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":[0.001229404,0.0003003568,0.0003999414,0.001670792,0.002728096,0.003536795,0.0003924915,0.0005185923,0.002049444],"category_scores_gemma":[0.003162054,0.0003279083,0.0002629987,0.001078862,0.003299966,0.001652874,0.003663651,0.0006985508,0.000238323],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008019381,"about_ca_system_score_gemma":0.0008095303,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006104195,"about_ca_topic_score_gemma":0.01521713,"domain_scores_codex":[0.9990174,0.0004036496,0.00008354364,0.0001218064,0.0001361492,0.0002374104],"domain_scores_gemma":[0.9988132,0.0006554972,0.0002156346,0.00008143107,0.00009392075,0.000140322],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00004314415,0.00006536098,0.1120259,0.0001278888,0.00001429618,0.0027282,0.8571424,0.00004538559,0.002586993,0.001445056,0.000123226,0.02365227],"study_design_scores_gemma":[0.000006999984,0.0001497846,0.07350291,0.0001668182,0.00002563621,0.003522804,0.9139064,0.00003144466,0.0007965552,0.0005707204,0.007292848,0.00002703205],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9970137,0.0002195145,0.0001268461,0.0000648278,0.000001963946,0.000008767416,0.0000120967,0.00000216416,0.002550115],"genre_scores_gemma":[0.9984586,0.0005050928,0.0002431351,0.00004655274,0.000001805373,0.00001843717,0.00001732607,0.000003238416,0.0007058577],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006104195,"threshold_uncertainty_score":0.01213735,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01488682711665722,"score_gpt":0.3290188291748213,"score_spread":0.3141320020581641,"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."}}