{"id":"W2001026592","doi":"10.1007/s11162-011-9216-5","title":"Methodological Options and their Implications: An Example Using Secondary Data to Analyze Latino Educational Expectations","year":2011,"lang":"en","type":"article","venue":"Research in Higher Education","topic":"Higher Education Research Studies","field":"Social Sciences","cited_by":16,"is_retracted":false,"has_abstract":false,"ca_institutions":"Institute for Christian Studies; University of Toronto","funders":"","keywords":"Higher education; Educational research; Variation (astronomy); Psychology; Process (computing); Management science; Mathematics education; Computer science; Economics; Economic growth","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.4467433,0.002105775,0.002527843,0.006101907,0.006414658,0.008148256,0.005830387,0.007153954,0.004087287],"category_scores_gemma":[0.6305555,0.001089847,0.003599694,0.0128073,0.007972136,0.007488402,0.006034758,0.005602551,0.0007796669],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004247143,"about_ca_system_score_gemma":0.008222939,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02551894,"about_ca_topic_score_gemma":0.04815347,"domain_scores_codex":[0.438536,0.5272347,0.01479052,0.005324554,0.01255974,0.001554399],"domain_scores_gemma":[0.1676489,0.7691389,0.01038634,0.02638405,0.02540472,0.001037045],"domain_codex":"methods","domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.002363687,0.001884106,0.2468558,0.007959335,0.006222607,0.005122192,0.09444424,0.007046381,0.004222479,0.3093349,0.02978914,0.2847551],"study_design_scores_gemma":[0.001325026,0.00165067,0.1116334,0.01562851,0.00425164,0.003448877,0.1400845,0.03454962,0.009180731,0.5894768,0.08771965,0.001050503],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1506515,0.01138302,0.7342433,0.06852962,0.002630152,0.006226463,0.001747955,0.0003105931,0.02427749],"genre_scores_gemma":[0.4986529,0.002920707,0.46711,0.01335306,0.000656084,0.01203538,0.0005111208,0.0003920693,0.00436867],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.4467433,"threshold_uncertainty_score":0.682264,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.8435227148593316,"score_gpt":0.6218082765675313,"score_spread":0.2217144382918003,"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."}}