{"id":"W1989826252","doi":"10.1080/09654313.2012.722934","title":"“Brain Drain” or “Brain Gain”? Students’ Loyalty to their Student Town: Field Evidence from Norway","year":2012,"lang":"en","type":"article","venue":"European Planning Studies","topic":"Customer Service Quality and Loyalty","field":"Business, Management and Accounting","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Tyndale University","funders":"","keywords":"Brain drain; Loyalty; Field (mathematics); Psychology; Economic geography; Sociology; Business; Economics; Marketing; Demographic economics; Mathematics","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.003018328,0.0005022269,0.0005703781,0.000231911,0.0006321811,0.0005228913,0.00115763,0.00005485813,0.0004819637],"category_scores_gemma":[0.002029196,0.0003736021,0.0001378136,0.0005804459,0.00006912245,0.001209787,0.002048306,0.0003554271,0.002613771],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006925939,"about_ca_system_score_gemma":0.00001371186,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003459571,"about_ca_topic_score_gemma":0.0002180658,"domain_scores_codex":[0.996967,0.0002267379,0.0006250824,0.0006282962,0.000713127,0.0008397901],"domain_scores_gemma":[0.9969266,0.001876851,0.0002909201,0.0006360224,0.000185646,0.00008397805],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0003238588,0.0003250312,0.4513062,0.0002447949,0.0005552417,0.0001464637,0.04978298,0.0001816836,0.0002928931,0.0002488629,0.4918329,0.004759014],"study_design_scores_gemma":[0.000796454,0.0001221175,0.561642,0.001452919,0.0001326461,0.000002485985,0.03890776,0.00003031848,0.00008411867,0.00006585514,0.3958615,0.0009018263],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9616299,0.0035629,0.000318789,0.01688298,0.001632031,0.0005320687,0.00001354188,0.0003435689,0.01508419],"genre_scores_gemma":[0.9327455,0.00003757293,0.0001919776,0.05726597,0.004662239,0.00003391214,0.00002003853,0.00007376313,0.004969048],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1103358,"threshold_uncertainty_score":0.9998716,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1140914166862771,"score_gpt":0.3631666324940385,"score_spread":0.2490752158077614,"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."}}