{"id":"W7025301905","doi":"","title":"A war of attrition: precarity and paucity for refugees and asylum seekers in Hong Kong","year":2023,"lang":"en","type":"dissertation","venue":"Figshare","topic":"Hong Kong and Taiwan Politics","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Refugee; Comprehensive Plan of Action; Statutory law; Welfare; Meaning (existential); State (computer science); Order (exchange)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00166698,0.0004521372,0.0006085015,0.0008622967,0.01069292,0.005548075,0.001158211,0.000773633,0.003882211],"category_scores_gemma":[0.002240274,0.0005595163,0.0003591627,0.001254228,0.004633449,0.002543801,0.005261383,0.002129391,0.000491167],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004711061,"about_ca_system_score_gemma":0.008781699,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.122851,"about_ca_topic_score_gemma":0.2042672,"domain_scores_codex":[0.9988024,0.0003267506,0.00009440719,0.0000936666,0.000148549,0.0005341109],"domain_scores_gemma":[0.9981197,0.0002892849,0.0003936639,0.00008801428,0.000246037,0.0008632688],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0000599866,0.00007825354,0.1062392,0.0002544641,0.00002366581,0.003269177,0.8754961,0.00002928324,0.0004675312,0.001486097,0.003184443,0.009411746],"study_design_scores_gemma":[0.000001674999,0.00004688059,0.02912422,0.0001375937,0.000005162315,0.0002734994,0.96586,0.00001624919,0.0000439401,0.00005331833,0.004423834,0.00001356438],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9954839,0.0006196394,0.00002331435,0.001523566,0.00004450011,0.00002122406,0.0000517042,0.000002592335,0.002229591],"genre_scores_gemma":[0.9952166,0.001145332,0.0000602921,0.0006145834,0.00001261833,0.00003151667,0.00005263602,0.00000575654,0.002860783],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.122851,"threshold_uncertainty_score":0.2442718,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05309436109518556,"score_gpt":0.3583000210289161,"score_spread":0.3052056599337305,"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."}}