{"id":"W2901044259","doi":"10.1515/glochi-2015-1006","title":"Representations of Chinese Language Learning in Contemporary English-language News Media: Hope, Hype, and Fear","year":2015,"lang":"en","type":"article","venue":"Global Chinese","topic":"Multilingual Education and Policy","field":"Social Sciences","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Narrative; Context (archaeology); Sociocultural evolution; Ideology; News media; Linguistics; Sociology; Geopolitics; Surprise; Language education; Chinese americans; Novelty; Media studies; Psychology; Political science; History; Social psychology; Ethnic group; Pedagogy; Politics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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":[0.001917839,0.0003099449,0.0001835492,0.003987603,0.002445191,0.005121141,0.0005007042,0.0005826448,0.002163356],"category_scores_gemma":[0.00506739,0.0001888279,0.0001796552,0.002405957,0.006712436,0.003334212,0.002253352,0.0009479491,0.0001210162],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003572007,"about_ca_system_score_gemma":0.001064384,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01641083,"about_ca_topic_score_gemma":0.01488548,"domain_scores_codex":[0.9991203,0.0003346252,0.00005238648,0.00009072313,0.0002400882,0.000161887],"domain_scores_gemma":[0.995562,0.002113313,0.001230675,0.0002292546,0.0005586334,0.0003061272],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.0001211283,0.0000440734,0.1066639,0.0001259803,0.00002416458,0.001329322,0.841844,0.0002067,0.003701717,0.02236051,0.0007535082,0.02282494],"study_design_scores_gemma":[0.000008129162,0.00008361417,0.1729428,0.0001555447,0.00003098807,0.000487418,0.8020619,0.001702153,0.001282605,0.005086707,0.01610485,0.00005322997],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9857275,0.0002179723,0.0005039898,0.000613052,0.00001362187,0.00001136332,0.0000537049,0.000009938825,0.01284885],"genre_scores_gemma":[0.9993727,0.00008556609,0.00008204042,0.00002062133,0.00000999761,0.000004451321,0.00002295652,0.000001956211,0.0003997688],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01641083,"threshold_uncertainty_score":0.03263062,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04422275337837562,"score_gpt":0.4362730530292876,"score_spread":0.392050299650912,"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."}}