Dialect acquisition by ‘new speakers’ of Dutch and their linguistic othering
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
The aim of this paper is twofold. The first section summarises what little is known about the acquisition of dialects and dialect features by locally born speakers whose parent(s) have a migration background, thus second-generation migrants in the Netherlands. The second part focusses on the province of Dutch Limburg, which is known for its widespread and active use of dialect, also in the public domain. The paper explores how new speakers acquire a dialect in Limburg but are restricted in their use of it by others who consider themselves the authentic speakers of this dialect. The linguistic othering of speakers with a migration background by these ‘authentic’ speakers has the effect that the ‘new’ speakers, although proficient in the dialect, do not use it in their daily practice or feel uncomfortable to use it.
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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 | 0.001 |
| 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) | 0.000 | 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