{"id":"W4411486519","doi":"10.2139/ssrn.5269589","title":"From Rank to Label: How Early Academic Rank Shapes Educational Diagnoses and Mental Health Outcomes *","year":2025,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Early Childhood Education and Development","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"","keywords":"Rank (graph theory); Mental health; Psychology; Medical diagnosis; Psychiatry; Medicine; Mathematics; Combinatorics","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":[0.004371662,0.0005682346,0.0007519263,0.001344072,0.001141563,0.004604244,0.001754711,0.002425324,0.01512441],"category_scores_gemma":[0.05307043,0.0004619131,0.00121709,0.001881475,0.001483327,0.002977323,0.002744778,0.004046451,0.002688664],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009985403,"about_ca_system_score_gemma":0.00238223,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02274003,"about_ca_topic_score_gemma":0.0249915,"domain_scores_codex":[0.9968439,0.001384161,0.0001532842,0.0005912475,0.0004554268,0.0005720569],"domain_scores_gemma":[0.9638244,0.01876146,0.007117002,0.003007819,0.002687552,0.004601769],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001061162,0.0002711297,0.9690006,0.00006440097,0.0002546139,0.000156454,0.001890824,0.0003040522,0.0002588789,0.001779775,0.004931561,0.02002657],"study_design_scores_gemma":[0.00004875695,0.0004375243,0.9784383,0.0002095508,0.0002550764,0.0002075007,0.004478723,0.001783687,0.0005224085,0.009954095,0.003591368,0.00007307882],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9792215,0.002036907,0.00137577,0.007562461,0.0003627512,0.00001668245,0.00291801,0.00007080651,0.006434955],"genre_scores_gemma":[0.9943467,0.0002385673,0.0005327726,0.0003466393,0.00009732318,0.00001530956,0.0009669713,0.00008166971,0.003374161],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02274003,"threshold_uncertainty_score":0.05059618,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01847104162503374,"score_gpt":0.3499526025618899,"score_spread":0.3314815609368562,"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."}}