Accommodating Dialect Speakers in the Classroom: Sociolinguistic Aspects of Textbook Writing
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
This paper discusses the special problems of developing teaching materials for less commonly taught languages—Macedonian, in particular. I consider materials designed for mixed groups of students with varying degrees of linguistic knowledge and with differing goals for language acquisition, which range from a desire for greater oral fluency in the home environment to rapid acquisition of reading knowledge for scholarly research. I discuss both the choice of pedagogical method and linguistic code. Through the description of course materials I show how to provide access to the standard language, while erecting a bridge from dialect to standard language. I maintain that, while focusing on standard forms, it is particularly helpful to (a) provide cultural support and recognition of dialect variation, and (b) to rely on mixed pedagogic techniques and strategies. Because many heritage speakers come from families of rural background, which left Europe in the early- to mid-twentieth century, many students cannot envision Macedonia as a modern state. Thus, teaching materials need to fill in the cultural gaps, building on students’ home knowledge, while providing a contemporary picture of Macedonia as a modern, multi-ethnic, multi-lingual state. The teaching of history also needs to be integrated in the texts, drills, and supplementary readings. In areas where pronunciation, morphology, and syntactic patterns are in transition, I discuss variation and sociolinguistic factors, but do insist on an understanding of the standard. If we as teachers do not require knowledge of the standard, we perpetuate illiteracy and the use of home language in limited domains.
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.
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 | 0.003 |
| 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) | 0.001 | 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 it