Contesting meaning: <i>Newfie</i> and the politics of ethnic labelling
Bibliographic record
Abstract
The ethnic label Newfie is a site of ideological dispute: for some, it is simply an informal term for residents and expatriates of the Canadian province of Newfoundland, for others it may function as an in–group term of solidarity which takes on negative connotations when used by non–Newfoundlanders, and for still others it is the equivalent of a racial slur. In this study we first trace the history of the term, a fairly recent innovation. We then examine present–day attitudes as expressed in (provincial and national) media discourse and in self–report data. We argue that debate over Newfie is part of a larger ideological struggle concerning the commodification of an ‘invented’ Newfoundland culture, which itself must be understood in terms of Newfoundland’s socioeconomic position as Canada’s poorest province. Finally, we compare the Newfie case to other instances of contested group labelling.
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.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.006 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.033 | 0.082 |
| Scholarly communication | 0.017 | 0.006 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.003 | 0.007 |
| Insufficient payload (model declined to judge) | 0.004 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".