{"id":"W2610043745","doi":"10.1111/imre.12315","title":"Reconceptualizing Context: A Multilevel Model of the Context of Reception and Second‐Generation Educational Attainment","year":2017,"lang":"en","type":"article","venue":"International Migration Review","topic":"Migration and Labor Dynamics","field":"Social Sciences","cited_by":38,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Economic and Social Research Council","keywords":"Educational attainment; Immigration; Multilevel model; Context (archaeology); Context effect; Sociology; Psychology; Econometrics; Computer science; Political science; Economic growth; Economics; Geography","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000627999,0.0000838188,0.0001669715,0.00003662404,0.0003451397,0.00005727916,0.0003187302,0.00005534193,0.0006471741],"category_scores_gemma":[0.0009003599,0.00006851119,0.00008839567,0.00004017768,0.0002699047,0.0003627707,0.00004237853,0.00006734367,0.000004067528],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009125528,"about_ca_system_score_gemma":0.0002194519,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007214446,"about_ca_topic_score_gemma":0.03714243,"domain_scores_codex":[0.9987858,0.0001453976,0.0004643152,0.0001560424,0.0003743585,0.00007409736],"domain_scores_gemma":[0.9982946,0.00007131806,0.0007896785,0.0002279498,0.0005770256,0.00003945034],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000192539,0.0002084421,0.01729815,0.0004248795,0.0001139926,8.372272e-8,0.03288094,0.0002482279,0.01174955,0.6902573,0.02340304,0.2233962],"study_design_scores_gemma":[0.002351017,0.00009353181,0.05967893,0.007520076,0.0002490041,0.000006379196,0.01152342,0.2900944,0.006924038,0.006907415,0.6136977,0.0009541311],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8966792,0.006803416,0.002832973,0.08343326,0.00165113,0.001565341,0.0003319456,0.00001971063,0.00668299],"genre_scores_gemma":[0.9811286,0.01306054,0.0004636399,0.001203919,0.0001233093,0.00004434275,0.00004672445,0.000005362857,0.0039236],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6833498,"threshold_uncertainty_score":0.9804272,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08459874910725795,"score_gpt":0.3765006524631432,"score_spread":0.2919019033558853,"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."}}