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
<JATS1:p>An in-depth exploration of how international teaching assistants (ITAs) make their accents workable to fulfill their duties as academic laborers. </JATS1:p> <JATS1:p>In this book, “workable” refers not only to manipulating an accent, but also to ensuring that an accent achieves certain objectives such as being perceived as an intelligible speaker, an expert educator, and an acceptable worker. Drawing on commentaries from ITAs working in Canadian universities, Vijay A. Ramjattan highlights how crafting a workable accent is not an apolitical endeavor, but rather a practice that works within and against the various communicative affordances of neoliberal academia. Just as it can involve fashioning one’s voice to satisfy oppressive communication norms, a workable accent can also contest these norms to varying degrees. Ramjattan ultimately demonstrates that (academic) institutions must do a better job at addressing how vocally marginalized workers are heard at work.</JATS1:p>
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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