{"id":"W2058477639","doi":"10.1177/0741713604271858","title":"Book Review: Training the Excluded for Work: Access and Equity for Women, Immigrants, First Nations, Youth, and People With Low Income","year":2004,"lang":"en","type":"article","venue":"Adult Education Quarterly","topic":"Digital Economy and Work Transformation","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Immigration; Equity (law); Work (physics); Sociology; Training (meteorology); Demographic economics; Gender equity; Economic growth; Political science; Gender studies; Economics; Geography; Law","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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":[0.0004457543,0.00009355114,0.0001344959,0.00005266882,0.0008919538,0.0003384692,0.0001523099,0.0000397328,0.00001327285],"category_scores_gemma":[0.00009544888,0.00007250368,0.00002903492,0.0002376701,0.0001075596,0.001434745,0.000005052269,0.00004297987,0.000001790288],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008670401,"about_ca_system_score_gemma":0.0003372597,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002367188,"about_ca_topic_score_gemma":0.006806838,"domain_scores_codex":[0.9992666,0.00002269277,0.0002155049,0.0001633659,0.0001055996,0.0002262768],"domain_scores_gemma":[0.9993107,0.0002202679,0.0001180964,0.00009520863,0.0001670461,0.00008863187],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00008997325,0.0001475517,0.001086564,0.001035877,0.00003615134,2.758803e-8,0.7300045,0.000007808224,1.675057e-7,0.02093826,0.004058667,0.2425944],"study_design_scores_gemma":[0.004309808,0.001179797,0.02011837,0.005311393,0.000182406,0.000005896505,0.5231136,0.00003551149,0.00001381432,0.03561635,0.4091089,0.001004111],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8422566,0.02303543,0.01215577,0.104034,0.0008179024,0.00900449,0.0001633277,0.0001652011,0.008367253],"genre_scores_gemma":[0.9921421,0.002460969,0.0001484723,0.003511628,0.0001088323,0.001206585,0.00005114772,0.000008338362,0.0003618753],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4050503,"threshold_uncertainty_score":0.6860277,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01687510915456724,"score_gpt":0.3040918069143201,"score_spread":0.2872166977597528,"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."}}