{"id":"W1605274843","doi":"","title":"Preparing Rural Preservice Teachers for Diversity","year":2005,"lang":"en","type":"article","venue":"Journal of Research in Rural Education","topic":"Education Systems and Policy","field":"Social Sciences","cited_by":43,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Diversity (politics); Citation; Library science; Teacher education; Sociology; Pedagogy; Mathematics education; Psychology; Anthropology; Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005516501,0.00004531552,0.0001033688,0.0003806811,0.000541693,0.0001032761,0.0003926362,0.00006584451,0.00006222782],"category_scores_gemma":[0.0008495514,0.00004191088,0.00006222307,0.0004452519,0.00008906009,0.000778089,0.00006139161,0.0002827362,0.00001338661],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007396446,"about_ca_system_score_gemma":0.001824264,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01127039,"about_ca_topic_score_gemma":0.002367469,"domain_scores_codex":[0.998301,0.0004405347,0.0002772294,0.00005954146,0.0006173269,0.0003043239],"domain_scores_gemma":[0.9983914,0.000361206,0.000173093,0.00009684346,0.0007900061,0.0001874739],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001177672,0.0005435569,0.2472199,0.00008650136,0.0000281462,2.693583e-7,0.4099646,0.00007957371,0.0002344254,0.01562231,0.1532122,0.1728907],"study_design_scores_gemma":[0.0004430226,0.0000935624,0.04714444,0.0002918969,0.00000659181,0.000005501008,0.4216036,0.00004228182,0.00007527088,0.004164929,0.5260282,0.0001007649],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9619338,0.0004160466,0.00001214139,0.02544475,0.0006611368,0.0003249241,7.614482e-7,0.000005528133,0.01120092],"genre_scores_gemma":[0.9922459,0.0001529065,0.0006717849,0.00008359544,0.002850053,0.00001706676,0.000001188759,0.000004486,0.003973005],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3728159,"threshold_uncertainty_score":0.9953136,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1399364050139907,"score_gpt":0.5247764953517345,"score_spread":0.3848400903377439,"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."}}