{"id":"W2287322861","doi":"10.20360/g2d59b","title":"“The In-between Crowd”: Contrasting Representations of Minority Language Students","year":2011,"lang":"en","type":"article","venue":"Language and Literacy","topic":"Multilingual Education and Policy","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Heritage language; Construct (python library); Literacy; Identity (music); Sociology; Mathematics education; Translanguaging; Linguistics; Minority language; Pedagogy; Psychology; Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.0004303362,0.00004383636,0.00007908472,0.00004235719,0.0001730199,0.00005554373,0.0001244717,0.000029698,0.0001264405],"category_scores_gemma":[0.0004613104,0.0000349045,0.00002114237,0.0001396115,0.0001013587,0.0001163259,0.00002575894,0.00007310716,0.000004703593],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000009476186,"about_ca_system_score_gemma":0.00003889866,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03167511,"about_ca_topic_score_gemma":0.002284954,"domain_scores_codex":[0.9993361,0.000132897,0.0001719684,0.00008836267,0.000126587,0.0001440506],"domain_scores_gemma":[0.9994103,0.0003102553,0.0000689377,0.0001115059,0.00003907737,0.00005988465],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.000003960073,0.00002679108,0.3580562,0.000006277588,0.000005101198,0.000003689332,0.6068282,1.028345e-8,0.00005009046,0.0018015,0.00002561354,0.03319256],"study_design_scores_gemma":[0.0002725698,0.00001011886,0.8715811,0.00002343948,0.00001039972,3.881387e-7,0.1216136,0.000003049366,0.0003315276,0.000165395,0.005919479,0.00006889914],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9471256,0.0005902963,0.000003187374,0.0000990822,0.00007657209,0.0001070764,0.000006930522,0.00001215157,0.05197914],"genre_scores_gemma":[0.995185,0.00003252297,0.000143608,0.00008681767,0.0002013252,0.000005576752,0.000003868753,0.000002280233,0.004338991],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5135249,"threshold_uncertainty_score":0.974773,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05238494259261177,"score_gpt":0.468937869331678,"score_spread":0.4165529267390662,"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."}}