Pluricentric Languages Policy Features through the Example of French
Bibliographic record
Abstract
Intr oduction. The paper reviews features of the French language policy inFrance,Belguim,Canada, andSwitzerland. The novelty of the study is implied by the fact that features of the language policy are analyzed with previously unknown circumstances taken into account: the circumstances that allow French to be seen as a pluricentric language. The relevance of the study is conditioned by the necessity of observing the sociopolitical space of language functioning, as well as the importance of both analyzing the dynamics of pluricentric languages spreading and identifying mechanisms of using a single language for either uniting disparate nations or countries manipulating. Methodology and sources. The method of the study is a comprehensive approach with a number of linguistic and social variables correlations. The study was conducted using official websites of Organisation international dela Francophonie describing official bodies and institutions responsible for language policy implementation, as well as articles of various publications (Le soir, The Guardian, Ethnologies), devoted to the discussion of French norm regulation problems as the material of the study. Results and discussion. The main result of the study is a review of the status of French as a pluricentric language worldwide, particularly in countries considered to be centres of French variants development and having French as an official language. Main features of a pluricentric language, as well as the factors that turn a monocentric language into a pluricentric one (through the example of French) are looked at. The actions taken by the Organisation internationale dela Francophonie and aimed at the strengthening of relations between French-speaking countries and the promoting of the French language worldwide are described. The study also illustrates the dependence of peripheral language centres fromFrance. An emphasis is put on the politics of the Académie Française aimed at the French language unification in all the countries having it as an official language. An assumption on the reasons of different deviation extent of French variants inCanada,Belgium, andSwitzerland from Standard French is made. Conclusion. It is impossible to consider language to be an independent and isolated phenomenon as it exists and evolves within society serving its needs. Institutions pursuing a language policy are in position to affect its development directly, yet in the context of pluricentric languages it is insufficient to have a single centre of linguistic regulation. Local institutions may have a policy that runs contrary to the language policy of the centre. Gender reforms can also become a new wave of linguistic changes leading to further distancing of different language variants.
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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 | 0.000 | 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 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".