{"id":"W3133765572","doi":"10.2139/ssrn.3747438","title":"Working Against and With the State: Hospitality from Sanctuary to Resettlement","year":2020,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Religion, Society, and Development","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Hospitality; State (computer science); Business; Political science; Tourism; Law; Computer science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001298175,0.0001287681,0.0002252127,0.0006303489,0.007813633,0.004058948,0.0009858204,0.001834893,0.01737932],"category_scores_gemma":[0.007070163,0.0001513546,0.0002007207,0.0008321152,0.003595828,0.003505557,0.005455579,0.004256276,0.0003928457],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003588279,"about_ca_system_score_gemma":0.006453894,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05325957,"about_ca_topic_score_gemma":0.155572,"domain_scores_codex":[0.9982305,0.0007324647,0.00002851448,0.00006775344,0.00007668514,0.0008641267],"domain_scores_gemma":[0.9945579,0.0007610706,0.0009025499,0.00009845403,0.0003287624,0.003351287],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.000600267,0.0009844224,0.2944742,0.0003385375,0.00009423999,0.002597576,0.3992086,0.0003265062,0.0004144429,0.1139869,0.07063113,0.1163433],"study_design_scores_gemma":[0.00001962203,0.0001345079,0.2119978,0.000703699,0.00004024959,0.0003964638,0.7325122,0.0001409497,0.0001636153,0.006069329,0.0477728,0.00004884331],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8714134,0.002598005,0.0001301561,0.06523705,0.0005185046,0.00001685016,0.0001659366,0.0000104966,0.05990967],"genre_scores_gemma":[0.9959477,0.0005269883,0.00002566978,0.000909142,0.00005518186,0.000005905058,0.0000362158,0.000005005844,0.00248825],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05325957,"threshold_uncertainty_score":0.1058992,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01420823347161686,"score_gpt":0.2610441494621628,"score_spread":0.2468359159905459,"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."}}