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
Autoethnography allows us to “go beyond simply looking at the artifacts or just the surface and to focus much more on the personal, the hidden, and the less obvious” (Lapidus, Kaveh, & Hirano, 2013, p. 34), and it is becoming more important to illustrate a constructive relationship between diverse professional communities, as English as a global language acquire local identities and local professional communities develop socially situated pedagogical practices (Canagarajah, 2012). This paper explores identity negotiation of the author, a transnational EAL student and a teacher through an autoethnography. Using concept of “audibility”, “agency”, “nobody”, and “somebody” (Kettle, 2005) and communities of practice (Lave & Wenger, 1991; Wenger, 1998), this paper unpacks the complexity of identity negotiation of an EAL student, and how it affected her teaching. It also provides an opportunity to rethink the definition of success.
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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.002 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.019 | 0.004 |
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