Redefining Forro as a marker of identity: Language contact as a driving force for language maintenance among Santomeans in Portugal
Bibliographic record
Abstract
Abstract In São Tomé and Príncipe, the language shift toward Portuguese is resulting in the endangerment of the native creoles of the island. These languages have been considered of low value in Santomean society since the mid-twentieth century. But when Santomeans are members of a diaspora, their perceptions of these languages, especially Forro, change in terms of value and identity-marking. It is possible to observe such changes among the Santomeans who learn Forro when they are abroad, who use it as an in-group code, and start to value it more. In this article, I address the role of language contact in the maintenance and expansion of Forro. I investigate the mechanisms of language maintenance by focusing on the shifts in community members’ attitudes and beliefs regarding their languages, as a result of contact. The changing attitudes and beliefs have led to a redefinition of the role of Forro in the speech community. This qualitative study is based on semistructured interviews conducted on São Tomé Island and in Portugal. Findings suggest that the change in value attributed to Forro by Santomeans as a result of contact contribute to the valorization of the language.
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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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.007 | 0.007 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".