{"id":"W4392354168","doi":"10.1177/14407833241232636","title":"Digitalisation and the welfare state – how First Nations people experienced digitalised social security under the Cashless Debit Card","year":2024,"lang":"en","type":"article","venue":"Journal of sociology","topic":"Financial Literacy, Pension, Retirement Analysis","field":"Business, Management and Accounting","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Australian Research Council","keywords":"Social security; Payment; State (computer science); Government (linguistics); Autonomy; Welfare state; Social Welfare; Welfare; Debit card; Smart card; Business; Stigma (botany); Economic growth; Credit card; Economics; Finance; Computer security; Political science; Law; Politics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005735455,0.0001285348,0.0002637954,0.0001651462,0.0009087812,0.0006904746,0.0002081425,0.00006862452,0.00004704821],"category_scores_gemma":[0.0002738769,0.00007096086,0.0002061243,0.0003669577,0.000415229,0.001254162,0.0001056512,0.0002086089,0.000006801062],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006132862,"about_ca_system_score_gemma":0.00003800654,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001271639,"about_ca_topic_score_gemma":0.001117327,"domain_scores_codex":[0.9990758,0.00004102192,0.0003115826,0.0001383743,0.0002596823,0.0001735458],"domain_scores_gemma":[0.9989213,0.0003342019,0.0003250426,0.00008981244,0.0003199935,0.000009652504],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0003325883,0.0001081308,0.1091606,0.000373109,0.0004642975,0.00006267552,0.09008432,0.0003448337,0.00009428177,0.7794515,0.01823772,0.001285908],"study_design_scores_gemma":[0.004194176,0.00007996617,0.4934621,0.0002137217,0.001204518,0.00008621834,0.09674069,0.01261311,0.00002592519,0.2146382,0.1758458,0.000895524],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9591624,0.0004516563,0.00008744103,0.03907415,0.0004505604,0.0001340042,0.000007721388,0.00002121665,0.0006108346],"genre_scores_gemma":[0.9982243,0.00005915648,0.000003531787,0.0006756272,0.0009078254,0.00001088439,0.00001743845,0.0000130203,0.00008822233],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5648133,"threshold_uncertainty_score":0.6989702,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01100624955958891,"score_gpt":0.2326429383736459,"score_spread":0.221636688814057,"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."}}