Language attitudes and identity building in the linguistic landscape of Montreal
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
Abstract Few studies to date have considered the agency of readers in reinterpreting the cultural, historical, political, and social background of the linguistic landscape (LL; visible language in public space) and the ways in which individual and collective identities are discursively conceptualised through the LL. In this article, we present results from a study involving participants from three self-described sociolinguistic identities (Francophone, Anglophone, and Bilingual), reading signs found in the LL of Montreal. Using photographic prompts, we questioned participants about the probable location of signs, their languages, and the languages’ placement on monolingual (French or English) and bilingual (French–English) signs emanating from both governmental and private entities. Further discussions about their emotive responses to the signs presented and the possible responses of “others” reveal the relative degrees of importance attached to these linguistic elements in constructing, negotiating, and communicating various and (more) fluid sociolinguistic identities.
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 | 0.001 | 0.015 |
| 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 it