{"id":"W3132136614","doi":"10.1111/imig.12826","title":"Parsing the mobilities of capital and labour: The case of Tim Hortons and internationally mobile Filipino workers","year":2021,"lang":"en","type":"article","venue":"International Migration","topic":"Migration, Ethnicity, and Economy","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Mobilities; Hospitality; Capital (architecture); Corporation; Tourism; Franchise; Service (business); Politics; Labour economics; Business; Economic growth; Political science; Economics; Economy; Sociology; Finance; Marketing; Law; Social science; Geography","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":[0.0004432531,0.00005831961,0.00007954172,0.00004049245,0.0002169785,0.00007413699,0.0001089414,0.00003986027,0.0001947029],"category_scores_gemma":[0.0002376474,0.00004284246,0.00003970091,0.0000847079,0.0003638055,0.0002477971,0.00004078385,0.00006442131,0.000001069237],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000355295,"about_ca_system_score_gemma":0.0001099046,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.008859042,"about_ca_topic_score_gemma":0.09154656,"domain_scores_codex":[0.9992822,0.0001207387,0.0002380185,0.0001237215,0.0001615587,0.0000737537],"domain_scores_gemma":[0.9989998,0.0004072364,0.0001404164,0.00009029388,0.0003375137,0.00002478158],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00005045037,0.0001984922,0.2662041,0.00005390751,0.0003085796,0.00002338543,0.4227197,0.0009075099,0.002316365,0.2868418,0.002400863,0.01797481],"study_design_scores_gemma":[0.0008189717,0.000134248,0.2763925,0.0001840316,0.0001065802,0.0002977402,0.636122,0.007155268,0.006896746,0.03731966,0.03417589,0.0003963094],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9944206,0.0006687904,0.0002038046,0.002804084,0.000243663,0.0001510983,0.00004687265,0.000007069479,0.001453959],"genre_scores_gemma":[0.9978287,0.0004392409,0.0001397009,0.00007237658,0.0001383703,0.0000189329,0.00001853338,0.000003466553,0.001340685],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2495221,"threshold_uncertainty_score":0.997741,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0144239797438018,"score_gpt":0.2876556786362046,"score_spread":0.2732316988924028,"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."}}