{"id":"W4386385650","doi":"10.2139/ssrn.4544617","title":"Approaches to Generative Artificial Intelligence, A Social Justice Perspective","year":2023,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Ethics and Social Impacts of AI","field":"Social Sciences","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Generative grammar; Perspective (graphical); Economic Justice; Sociology; Social justice; Artificial intelligence; Epistemology; Psychology; Political science; Criminology; Computer science; Law; Philosophy","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":["sts"],"consensus_categories":[],"category_scores_codex":[0.006032757,0.0001539901,0.0002077937,0.0002397695,0.003364837,0.0004248731,0.0004293191,0.0002044842,0.00004374315],"category_scores_gemma":[0.001505533,0.0001520098,0.0001646382,0.001264751,0.0002932678,0.0003615969,0.00006319609,0.00208774,0.0002867679],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0020968,"about_ca_system_score_gemma":0.005550023,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009060256,"about_ca_topic_score_gemma":0.01871192,"domain_scores_codex":[0.9956229,0.0004293435,0.000260306,0.0002638089,0.0006944795,0.002729126],"domain_scores_gemma":[0.9989599,0.0001908881,0.000117089,0.00007643958,0.0004170497,0.000238614],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00002841224,0.00003692248,0.000006515364,0.000001450601,0.00007824293,0.000003956044,0.08784241,0.0000673416,0.00003517933,0.8986017,0.0007917376,0.01250617],"study_design_scores_gemma":[0.00003096597,0.0001077039,0.00003045705,0.000003359371,0.00003427263,0.000002894084,0.336701,0.00004977217,0.00002724257,0.6606803,0.002196768,0.000135213],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.1305329,0.0007364634,0.04081434,0.6141785,0.002572688,0.001011666,0.00002161241,0.0005009808,0.2096308],"genre_scores_gemma":[0.9886008,0.001197661,0.0001721132,0.0007769443,0.004867229,0.0000127133,0.000002111252,0.00002550477,0.004344933],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8580679,"threshold_uncertainty_score":0.999194,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.222459109475245,"score_gpt":0.4030094343245627,"score_spread":0.1805503248493177,"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."}}