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
We, SKRIB: Critical Studies in Writing Programs and Pedagogy co-editors, and the editorial board are pleased to provide a space for multilingual, international writing scholars and practitioners. As we wrote on the founding of the journal, our hope for SKRIB is to facilitate “intercultural dialogue around the development of writing programmes, writing centres, and writing pedagogy in post-secondary institutions of higher learning around the world.” As a forum for intercultural discourse, SKRIB draws attention to the ways in which the writing at the core of our work is not neutral, but rather deeply personal, and it resides in an inherently politicized space. Our work is always necessarily caught up in globalization processes and global contestations of power between nation states, ideologies, cultures, communities, and languages. SKRIB invites scholars to centre this conception of writing as inherently political in the ways they critically reflect on their writing programs, pedagogies, and initiatives, and, especially, in how they contribute to the development of writing studies; decolonization, equity, inclusion, and diversity are fundamental responsibilities of writing teachers, scholars, and administrators.
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 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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