{"id":"W4406632693","doi":"10.1080/00220388.2025.2451867","title":"A Common Framework to Analyze Social Mobility and Inequality of Opportunity. An Application to the Core and Peripheral Areas of Chile, Colombia, and Mexico","year":2025,"lang":"en","type":"article","venue":"The Journal of Development Studies","topic":"Intergenerational and Educational Inequality Studies","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Government of Northwest Territories","funders":"International Development Research Centre","keywords":"Core (optical fiber); Inequality; Common core; Social mobility; Development economics; Social inequality; Economic geography; Regional science; Geography; Sociology; Economics; Computer science; Telecommunications; Social science; Mathematics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.003459603,0.001106897,0.0008764827,0.00944065,0.001389194,0.002729026,0.001510785,0.0008037301,0.003258718],"category_scores_gemma":[0.005278927,0.0002679091,0.002055787,0.006756734,0.002770541,0.002149991,0.003651933,0.001315291,0.0002273209],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003110952,"about_ca_system_score_gemma":0.003810182,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04291502,"about_ca_topic_score_gemma":0.04086703,"domain_scores_codex":[0.9977938,0.001304577,0.0001108902,0.0003976344,0.0002336403,0.0001595516],"domain_scores_gemma":[0.9981111,0.0007992205,0.0004410004,0.0002055381,0.0003105554,0.0001326588],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.00002248996,0.0001402973,0.07409208,0.0003173681,0.0004725845,0.0002979661,0.003416902,0.02744341,0.0003682704,0.8243339,0.00538396,0.06371071],"study_design_scores_gemma":[0.00004070926,0.0002086033,0.157746,0.0009769244,0.0004170775,0.0005262523,0.01598852,0.1669913,0.0004170934,0.5681596,0.08835986,0.0001679133],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1022774,0.007911994,0.8309602,0.007533631,0.0003008062,0.0008819398,0.007269333,0.0002575276,0.04260728],"genre_scores_gemma":[0.7823979,0.003209686,0.2075225,0.0002620355,0.0001916497,0.001433358,0.001815013,0.00004073055,0.003127164],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04291502,"threshold_uncertainty_score":0.08533043,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09014312494768814,"score_gpt":0.4164596729097832,"score_spread":0.3263165479620951,"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."}}