{"id":"W1855174569","doi":"10.55016/ojs/ajer.v60i2.55920","title":"Making the Invisible of Learning Visible: Pre-service Teachers Identify Connections between the Use of Literacy Strategies and their Content Area Assessment Practices","year":2015,"lang":"en","type":"article","venue":"Alberta Journal of Educational Research","topic":"Student Assessment and Feedback","field":"Social Sciences","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"St. Francis Xavier University","funders":"","keywords":"Literacy; Content (measure theory); Mathematics education; Psychology; Content analysis; Pedagogy; Service (business); Sociology; Social science; Business; Marketing; Mathematics","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":[0.002337313,0.0002687059,0.0003277027,0.001046492,0.002516575,0.003999731,0.0006083472,0.000886246,0.003215868],"category_scores_gemma":[0.01216507,0.0003413906,0.0001894212,0.0006075019,0.004159849,0.002666026,0.003214806,0.001910139,0.0005978166],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001395183,"about_ca_system_score_gemma":0.002758467,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009225491,"about_ca_topic_score_gemma":0.0183141,"domain_scores_codex":[0.9981711,0.0006795227,0.000104065,0.0001865882,0.0004639266,0.000394727],"domain_scores_gemma":[0.9924224,0.004164078,0.001056143,0.0003644881,0.001202227,0.0007906641],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00003580187,0.0001401547,0.04803688,0.0001034479,0.000003984869,0.0007199606,0.9264098,0.00002722006,0.002622439,0.0008313315,0.0003042248,0.02076487],"study_design_scores_gemma":[0.000003390388,0.0001321955,0.04409525,0.0001090025,0.000005811707,0.0005206881,0.9451537,0.00007652655,0.00117769,0.0008439005,0.007865174,0.00001677807],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.990696,0.0001386102,0.001152142,0.0004072831,0.000007839032,0.0000270038,0.00001085397,0.00001525662,0.007545043],"genre_scores_gemma":[0.9976103,0.0001384193,0.0005404375,0.00006073306,0.000001827298,0.00001628596,0.000009755675,0.000008697713,0.001613614],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009225491,"threshold_uncertainty_score":0.01834357,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5367516268674741,"score_gpt":0.5577969117049367,"score_spread":0.0210452848374626,"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."}}