Research Responsibility Agreement: a tool to support ethical research
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
When engaging in community-based research, it is important to consider ethical research practices throughout the project. While current research practices require many investigators to obtain approval from an ethics review board before starting a project, more is required to ensure that ethical principles are applied once the investigations begin and after the investigations are complete. In response to this concern, as expressed by workers at a feminist non-profit during a community placement, we developed a tool to foster both greater ethical and feminist research practice in community-based research. Using feminist theories, methodologies, and concepts such as epistemic justice, epistemic trust, and coauthorship, a tool was developed to support researchers and other collaborators in building relationships of reciprocity. This tool, called the Research Responsibility Agreement (RRA) invites all members of a research project to explicitly reflect on their role in the research, their relationships with other collaborators, their responsibility to contributing meaningfully in the project, and their plans to remain accountable to one another. In doing so, the RRA adds to existing tools that support ethical research by sharing explicit reflections from all collaborators on how to prevent harm and by asking them to reflect on ethical practices beyond the initial stages of the project. The RRA also encourages greater engagement from researchers and collaborators toward building meaningful relationships with each other, and with participants, to work together in advancing social change. As a practical tool that promotes reflection, that builds relationships, and that holds all parties accountable to ethical and feminist research practices, the RRA has the potential to generate impactful change in community-based research projects and beyond. While the RRA is tailored to community-based research, it can be applied widely to any research project and has the potential to revolutionize how research relationships are built across disciplines.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.712 | 0.804 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.007 | 0.027 |
| Science and technology studies | 0.004 | 0.010 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.003 | 0.010 |
| Research integrity | 0.008 | 0.177 |
| Insufficient payload (model declined to judge) | 0.003 | 0.056 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it