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 inspectors from the Office québécois de la langue francçaise (OQLF) objected to the use of the word “pasta” in a Montreal restaurant in February 2013, a backlash in news and social media erupted internationally. Ensuing pressure led to the resignation of the OQLF head and a revision of OQLF language complaint procedures; the Pastagate story also contributed to mounting negativity towards the province and its language. Social media have been credited with playing a role in the proliferation of the story and its impact. Drawing on a corpus of Tweets containing PASTAGATE, this paper uses corpus-assisted discourse studies to explore language ideologies in English and French Tweets. Findings reveal divergent language ideologies and representations of the Pastagate affair. The paper concludes by suggesting that language ideological debates in a superdiverse online world may have implications for minority languages in the offline world of nation-states.
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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 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) | 0.001 | 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