IDENTIFYING ELEMENTS OF INTERCULTURALISM AND LANGUAGE MEDIATION IN THE “MODERN GREEK PAIDEIA” PROGRAM
Bibliographic record
Abstract
This study delves into the intricate tapestry of interculturalism and language mediation within the textbooks of the 8th grade of the program “Modern Greek Paideia”, which is being used for the teaching of Greek as heritage language in “Aristotle” school, the only primary school in Toronto that the Hellenic Republic recognizes. More precisely, using discourse analysis as a method, the reconstitution of the whole cultural relationship between the dominant culture and the target culture is done through the cultural elements that exist in the textbook’s activities and images. This aims to show that foreign-language teaching textbooks play an important role in configuring multicultural societies with intercultural competence and acquiring a second language in diasporic environments. The present study is structured into the following two parts. First, a literature review of second/foreign language acquisition theories, intercultural education and teaching Greek as diasporas was conducted. Second, the textbook was analysed before the results were presented, and a discussion about teaching Greek as a heritage language was held. This research contributes to the burgeoning discourse on intercultural education and language pedagogy by offering empirical evidence and practical insights into fostering intercultural competence and linguistic mediation skills among young learners. Ultimately, the findings aim to inform curriculum design and pedagogical approaches that promote inclusive and culturally responsive education within the “Modern Greek Paideia” program and beyond.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.005 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".