English: its role as the language of comity in an employment programme for Canadian immigrants
Bibliographic record
Abstract
This study explores the experiences of a culturally and linguistically diverse group of immigrant adult students as they attended a 12-week employment preparation course for newcomers to Canada. The main aim of the course was to equip the immigrants with knowledge and skills, including English for employment purposes, which are necessary to be competitive in the labour market. Using ethnographic methods, mainly participant observation with audio recording, to collect data, this paper analyses the communicative strategies that this group of multilingual speakers and their Canadian teachers deployed to discursively construct a ‘heterotopia’ defined here as ‘intensely affective spaces that redefine the experiential feeling of being and becoming’. Analysis of transcribed audio recordings reveals that despite differences in communication conventions and sociocultural backgrounds, the research participants from Congo, Haiti, India, Bangladesh, Jordan and the Philippines managed to establish a socially cohesive team that emphasises shared relational identity and in-group membership. The findings show how they creatively mobilised previously acquired pragmatic strategies and resources from their L1 to suit the demands of the ongoing interaction in English. It is suggested that language teaching in the context of preparing immigrants for labour market integration entails a pedagogical approach that foregrounds the affordances of English not only as the language of employment but perhaps more importantly as the ‘language of comity’. It is therefore suggested that the teaching of the host country's language should focus less on grammatical correctness and focus more on providing the adult learners with opportunities to activate existing pragmatic resources and strategies which have to do with establishing rapport and friendly relations.
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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 | 0.001 | 0.001 |
| 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".