“We have that strong R, you know”: the enregisterment of a distinctive use of rhotics in Santomean Portuguese
Bibliographic record
Abstract
This study examines how the use of rhotics in Santomean Portuguese is becoming enregistered as a feature that marks Santomeans' national identity. It is based on ethnographic fieldwork and semistructured interviews with Santomeans living on São Tomé Island and in Portugal. The qualitative analysis of the data reveals the process that leads to the use and awareness of the rhotic feature among Santomeans. This increasing awareness is analysed in terms of orders of indexicality. The author suggests that awareness of this rhotic feature among Santomeans is contingent on having contact with Portuguese speakers of non-Santomean origin, as they only become aware of their distinctive use of rhotics when they are in contact with speakers of another variety of Portuguese on the island, in the diaspora, or online. Also, even if this feature is perceived negatively by many, it remains available for identity-driven use to express a connection to São Tomé and Príncipe.
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How this classification was reachedexpand
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 | 0.001 |
| 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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".