Muslim Students Learning L2 and FL in Minority Primary Schools in Thrace: Relational Instances of Tri/Bilingualism
Bibliographic record
Abstract
The Muslim minority in Thrace is a heterogeneous group of people regarding their cultural and linguistic identities. It consists of Muslims of Turkish origin who speak Turkish as their mother tongue, of Pomaks, who speak Pomak, and of Roma, who speak Romani. Their educational-linguistic situation is fraught with long-lasting problems, which are attributed to the inherent characteristics of ‘Minority Εducation’, a term used to describe a specific group of primary and secondary schools, situated exclusively in the area of Thrace, that operates under a special regime, as stipulated in legal instruments of international law and bilateral agreements, and can be attended only by Muslim minority children. Extensive research over the years has shown that there are serious impediments in these students learning Greek as an L2, even after the implementation of the Project for Reform in the Education of Muslim Children (PEM) and the additional educational material that targeted this particular religious minority. The results show that most of these students do not achieve a language level of A2 in Greek and, thus, exhibit low school performance. Similar results have been recorded in research papers concerning learning English as a FL, which is a compulsory school subject, by Muslim minority students in both public and minority primary schools. These students also fail to achieve the foreign language attainment level set in the school curriculum. The present paper seeks to outline the unchartered causes of this situation, delve into the language situation of Muslim students and suggest possible and viable solutions.
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.
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 | 0.001 | 0.001 |
| 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 | 0.004 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 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".