{"id":"W4328008554","doi":"10.2139/ssrn.4388958","title":"Contextualizing Datafication in Peru: Insights from a Citizen Data Literacy Project","year":2023,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"E-Learning and Knowledge Management","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Citizen science; Literacy; Political science; Sociology; Law","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":[],"consensus_categories":[],"category_scores_codex":[0.001737391,0.000137269,0.0001636472,0.0004230942,0.0001909384,0.0004710839,0.002265847,0.00004399176,0.000004284553],"category_scores_gemma":[0.0001837571,0.0001226555,0.00003515495,0.00100479,0.00002559085,0.001311294,0.0008704294,0.001124911,0.0002412848],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003543487,"about_ca_system_score_gemma":0.0008955614,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004106325,"about_ca_topic_score_gemma":0.001431029,"domain_scores_codex":[0.9974235,0.0002604234,0.0003311381,0.0005054633,0.0002976172,0.00118181],"domain_scores_gemma":[0.9986795,0.0001313574,0.0001480092,0.0009323235,0.00006263999,0.00004616881],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002737459,0.0001283548,0.001691652,0.00001644014,0.0001539307,0.00006956221,0.0101716,0.00007173444,0.0003619002,0.5081439,0.003570664,0.4755929],"study_design_scores_gemma":[0.003138811,0.0004216084,0.008268668,0.0004055114,0.00004886847,0.0001396162,0.01153882,0.4575036,0.00007303985,0.3710596,0.1464909,0.0009109926],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3757466,0.01438718,0.5890876,0.007600814,0.001497491,0.0009269151,0.00002792967,0.001022783,0.009702655],"genre_scores_gemma":[0.9944164,0.00209303,0.001234018,0.00009328636,0.0002577789,0.000009552736,0.0001577606,0.00001630894,0.00172193],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6186697,"threshold_uncertainty_score":0.5001745,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0430755482743708,"score_gpt":0.316052255012105,"score_spread":0.2729767067377342,"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."}}