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
This interview was conducted by Margaret “Isa” Long with Interviewee J as part of Project 2020: A Collaborative Oral History. The Interviewee discusses the significance of the Black Lives Matter movement and the greater issues surrounding race, particularly as a Black, transgender Canadian living in Montréal, Québec. They also detail the challenges within the LGBTQ+ community as a Black trans individual. Notable topics include personal and familial challenges, race, social unrest, identity, and LGBTQ+ issues. Interviewee J (He/They), a resident of Montréal, Québec, identifies as trans-male, i.e. someone who was assigned female at birth but whose gender identity is male. They are also of both Haitian and Malian descent. At the time of the interview, Interviewee J was nineteen years old. Spearheaded by Dr. O. Jennifer Dixon-McKnight, an Assistant Professor of History and African American studies at Winthrop University, Project 2020 is best summarized in her words: “The goal was to conduct interviews that explored the various ways in which Americans were experiencing and being impacted by the various watershed moments that emerged during 2020 (the global pandemic, social unrest, financial challenges, issues with healthcare, etc.)."
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.003 |
| Scholarly communication | 0.000 | 0.003 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.016 | 0.001 |
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