Research touts universal participation through accessibility initiatives, yet blind and low-vision (BLV) researchers face systematic exclusion as visual representations dominate modern research workflows. To materialize inclusive processes, we, as BLV researchers, examined how our peers combat inaccessible infrastructures. Through an explanatory sequential mixed-methods approach, we conducted a cross-sectional, observational survey (n=57) and follow-up semi-structured interviews (n=15), analyzing open-ended data using reflexive thematic analysis and framing findings through activity theory to highlight research's systemic shortcomings. We expose how BLV researchers sacrifice autonomy and shoulder physical burdens, with nearly one-fifth unable to independently perform literature review or evaluate visual outputs, delegating tasks to sighted colleagues or relying on AI-driven retrieval to circumvent fatigue. Researchers also voiced frustration with specialized tools, citing developers' performative responses and losing deserved professional accolades. We seek follow-through on research's promises through design recommendations that reconceptualize accessibility as fundamental to successful research and supporting BLV scholars' workflows.

翻译：研究常通过无障碍倡议宣扬普遍参与，然而随着视觉表征主导现代研究工作流程，盲人和低视力研究者面临系统性排斥。为实现包容性流程，我们作为BLV研究者，考察了同行如何应对不可访问的基础设施。通过解释性序列混合方法，我们开展了横断面观察性调查（n=57）及后续半结构化访谈（n=15），运用反思性主题分析法处理开放式数据，并借助活动理论框架呈现研究结果，以揭示研究体系的系统性缺陷。我们揭露了BLV研究者如何牺牲自主性并承受身体负担——近五分之一无法独立完成文献综述或评估视觉输出，只能将任务委托给明眼同事或依赖AI驱动检索来规避疲劳。研究者还对专业工具表达了挫败感，指出开发者的象征性回应导致其失去应得的专业认可。我们通过设计建议寻求研究承诺的落实，这些建议将无障碍性重新定义为研究成功的根本要素，以支持BLV学者的工作流程。