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
French stylization can frequently be observed in the English-speaking media under the form of faked French accents or performed personas as is the case with Poirot’s TV character. In the popular ITV drama adaptation of the well-known eponymous novels of Agatha Christie, dialogues in English are peppered with French words. This paper will analyse the functions of these tokens of bilingualism and will show that they are used as a form of ethnosymbolism (Haarmann 1986). In this article, I argue that the actor’s performance is a representation of the foreign language and culture for a mainly monolingual audience. For Androutsopoulos (2007: 222), it is a matter of ‘styling ethnic otherness for majority audiences’. I relate the staging of salient linguistic traits to folk linguistics and more particularly to the beliefs a speech community carries on another speech community and its ways of speaking. In order to identify popular conceptions regarding transfers from L1 French, the lines of the Belgian sleuth are analysed on lexical, pragmatic and syntactic levels.
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 | 0.014 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.001 |
| 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