Bibliographic record
Abstract
This chapter discusses selected studies of orthography that focus on the spelling practices by mere users of the language (in crucial opposition to actors from the literate elite – norm makers), concentrating on what they reveal about processes of language change as exemplified by spelling variation. The chapter supports the idea that, within the field of historical sociolinguistics, orthographic variables are now considered a type of linguistic variables. The author shows, on the basis of specific historical sociolinguistic studies, that writers’ variable choices of orthography can inform us about broader mechanisms of language change, but always alongside other types of variation or linguistic information. This chapter examines almost exclusively material from the French language, with the studies under consideration addressing either regional French in France or different varieties of French in Canada. The author situates French orthographic variables within the broader language evolution context, explicating what information spelling variation discloses about the writer’s attitudes toward the (written or spoken) norm, toward the written form, and toward the writer’s linguistic community as a whole. The author also considers how spelling variation compares to other types of language variation in order to contribute to a greater understanding of language change.
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 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 | 0.000 |
| 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".