{"id":"W4388658322","doi":"10.1590/scielopreprints.7366","title":"The neglect of equity and inclusion in open science policies of Europe and the Americas","year":2023,"lang":"en","type":"preprint","venue":"","topic":"scientometrics and bibliometrics research","field":"Decision Sciences","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; Université de Montréal; Simon Fraser University","funders":"Social Sciences and Humanities Research Council of Canada; Arts and Humanities Research Council; Deutsche Forschungsgemeinschaft","keywords":"Openness to experience; Equity (law); Incentive; Political science; Public relations; Public policy; Transparency (behavior); Ethos; Science policy; Objectivity (philosophy); Open science; Inclusion (mineral); Neglect; Public administration; Sociology; Economics; Social science; Psychology; Law","routes":{"ca_aff":true,"ca_fund":true,"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":["open_science"],"consensus_categories":[],"category_scores_codex":[0.07496023,0.0002173901,0.0007433497,0.003897935,0.007012313,0.02096338,0.001236426,0.005644108,0.001652888],"category_scores_gemma":[0.08675802,0.0004034995,0.0005522149,0.00582903,0.02299856,0.01444831,0.01466667,0.005871322,0.0001769262],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01228489,"about_ca_system_score_gemma":0.02455814,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01037315,"about_ca_topic_score_gemma":0.005936692,"domain_scores_codex":[0.9500235,0.0289029,0.003560893,0.003795365,0.008976088,0.004741271],"domain_scores_gemma":[0.8742593,0.09470738,0.009919706,0.008287702,0.007518731,0.005307094],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001095109,0.00005799933,0.007367216,0.000407893,0.0000365702,0.0002236527,0.04421437,0.0005738551,0.0006014174,0.8806686,0.005018814,0.06072021],"study_design_scores_gemma":[0.0000866623,0.0001235111,0.0328561,0.003151514,0.00007655146,0.0003555513,0.1007372,0.0007562747,0.00182481,0.4263475,0.4335536,0.0001307139],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5032024,0.02396632,0.008776716,0.2437994,0.0007859125,0.0001041581,0.0002897824,0.00008898968,0.2189863],"genre_scores_gemma":[0.9773467,0.002572599,0.001836319,0.01551104,0.0001826572,0.00008974547,0.00006575739,0.0000307771,0.002364261],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9987636,"threshold_uncertainty_score":0.3964323,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.7099295677185388,"score_gpt":0.6538960585412826,"score_spread":0.05603350917725614,"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."}}