{"id":"W7116891643","doi":"10.1108/jd-05-2025-0148","title":"Interdependence in information practices: differences matter when caring for immigration data in Canada","year":2025,"lang":"en","type":"article","venue":"Journal of Documentation","topic":"Migration, Refugees, and Integration","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Immigration; Government (linguistics); CLARITY; Settlement (finance); Thematic analysis; Sociotechnical system; Work (physics); Service (business); Economic Justice","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":[0.001042088,0.00005834922,0.0001162318,0.0002590276,0.00008465481,0.0001983856,0.0002572261,0.00003884415,0.00008064329],"category_scores_gemma":[0.0006093062,0.000052324,0.00001719978,0.0001949496,0.00001419116,0.006225708,0.00001779397,0.0001141357,0.000001659123],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008366269,"about_ca_system_score_gemma":0.001451636,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8109459,"about_ca_topic_score_gemma":0.9940735,"domain_scores_codex":[0.998751,0.0001396249,0.0006048563,0.00007914849,0.000317149,0.0001081552],"domain_scores_gemma":[0.9986771,0.0001875689,0.0008139596,0.00009076484,0.0002075734,0.00002304537],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001908817,0.00004904858,0.8938884,0.00008799978,0.00002814315,0.00000120257,0.05807951,0.0002194017,0.0002825079,0.004996129,0.01243036,0.02974644],"study_design_scores_gemma":[0.002421953,0.0001411902,0.7106937,0.000897922,0.00007994987,0.000003677846,0.2184746,0.009735886,0.0008980283,0.0150205,0.04131118,0.0003214276],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9763741,0.00009834229,0.01640204,0.004491232,0.0006494861,0.000390789,0.000009745524,0.000003036916,0.001581199],"genre_scores_gemma":[0.9983472,0.0001558149,0.0008727557,0.0003220957,0.00006116235,0.00001122754,0.000051312,0.000001638066,0.0001768315],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1831946,"threshold_uncertainty_score":0.4513488,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02720234936563747,"score_gpt":0.3558987082814474,"score_spread":0.3286963589158099,"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."}}