{"id":"W2469584752","doi":"10.1007/s10993-016-9410-6","title":"Contested spaces in policy enactment: a Bourdieusian analysis of language policy in Singapore","year":2016,"lang":"en","type":"article","venue":"Language Policy","topic":"Multilingual Education and Policy","field":"Social Sciences","cited_by":15,"is_retracted":false,"has_abstract":false,"ca_institutions":"Crandall University","funders":"","keywords":"Language policy; Language education; Sociology; Language planning; Sociolinguistics; Multilingualism; Public policy; Political science; Linguistics; Pedagogy; Law","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007309878,0.0002328428,0.0005526297,0.00438679,0.0001036827,0.00006336832,0.0004480729,0.0001868228,0.0004800189],"category_scores_gemma":[0.004613935,0.0001882705,0.0002064124,0.006366216,0.0003361329,0.0002196943,0.00007428141,0.0001518175,0.00004125058],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007982235,"about_ca_system_score_gemma":0.001977734,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7391046,"about_ca_topic_score_gemma":0.2464347,"domain_scores_codex":[0.9974051,0.0004658122,0.0005717383,0.0003500321,0.0003817047,0.0008255932],"domain_scores_gemma":[0.9984715,0.0004057713,0.0002832579,0.0004699844,0.00006654936,0.0003029428],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.00004643828,0.0003531678,0.05608865,0.00003383417,0.0001676138,0.00004013799,0.7429912,0.00001814031,0.006205171,0.1193928,0.0001404867,0.0745223],"study_design_scores_gemma":[0.006990865,0.0001959969,0.5863504,0.0006761236,0.0003349427,0.000007701679,0.320877,0.0002211742,0.007647946,0.002304435,0.07257014,0.001823286],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8991157,0.0003688719,0.000008080763,0.02569772,0.00005444132,0.0003103104,0.0001395351,0.00007439534,0.07423098],"genre_scores_gemma":[0.9874011,0.0001585211,0.00008479011,0.002101338,0.001139486,0.00002553386,0.00002340246,0.0000247708,0.009041029],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5302618,"threshold_uncertainty_score":0.7677446,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02668571984461881,"score_gpt":0.4637273681867923,"score_spread":0.4370416483421735,"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."}}