{"id":"W4412187308","doi":"10.1177/09610006251353385","title":"Inequity, precarity, and disparity: Exploring systemic and institutional barriers in open access publishing","year":2025,"lang":"en","type":"article","venue":"Journal of Librarianship and Information Science","topic":"scientometrics and bibliometrics research","field":"Decision Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal; Lakehead University; Université de Montréal","funders":"Fonds de Recherche du Québec-Société et Culture; Institute for Humane Studies, George Mason University","keywords":"Precarity; Publishing; Sociology; Political science; Public relations; Gender studies; Law","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch","scholarly_communication","open_science"],"consensus_categories":[],"category_scores_codex":[0.04650548,0.0002611774,0.0008745269,0.004366358,0.01356637,0.01194611,0.002367015,0.00152767,0.002924967],"category_scores_gemma":[0.1056057,0.0004052637,0.0005337257,0.005922804,0.02335319,0.008883052,0.01647573,0.003223296,0.0001228917],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01901951,"about_ca_system_score_gemma":0.05160018,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1033571,"about_ca_topic_score_gemma":0.1335619,"domain_scores_codex":[0.9414093,0.03051988,0.004260018,0.002955807,0.01503831,0.005816607],"domain_scores_gemma":[0.8820249,0.08259591,0.01368895,0.004317355,0.009838514,0.007534432],"domain_codex":null,"domain_gemma":"incentives","domain_candidate":"incentives","domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00004503625,0.0001083806,0.1088009,0.0004602972,0.00005410513,0.0005345908,0.812911,0.0001710991,0.0003396361,0.03659214,0.000628454,0.03935434],"study_design_scores_gemma":[0.00001085227,0.00006091583,0.05874267,0.0008220258,0.00004122329,0.0003868807,0.903698,0.0006643589,0.0003028881,0.02306211,0.01215462,0.00005348659],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.966354,0.001302259,0.0025238,0.01181488,0.00005236167,0.0001262116,0.00004614991,0.00001124391,0.01776899],"genre_scores_gemma":[0.9983083,0.0002596167,0.0006195785,0.0004079581,0.00001200787,0.00003373262,0.00001210766,0.000006601066,0.0003401684],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.997633,"threshold_uncertainty_score":0.2459474,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.640031349098399,"score_gpt":0.557906649263912,"score_spread":0.082124699834487,"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."}}