"Qualifying" as Teacher: Immigrant Teacher Candidates' Counter-Stories.
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
Teachers in Canadian schools are over-representative of the dominant group: white, middle class, heterosexual, able-bodied, Christian and Canadian born (Bascia, 1996). Yet, Canada is a multi-ethnic, multi-racial, multi-faith and multi- linguistic country. In the last 5-7 years faculties of education have been accepting increasing numbers of immigrant teacher candidates (Association of Universities and Colleges Canada, 2007) with little attention to the issues and challenges those candidates confront in the face of community expectations of who 'qualifies' as teacher. The experiences and perspectives of what it means to be a teacher are stories that are predominantly told by the dominant group. Drawing on the work of Solorzano and Yosso (2002) I use narratives and stories told by those who have been “othered” or “counter-storytelling” to bring complexity and richness to the prevailing concept of who can be a teacher. This research builds on Bourdieu‟s (1977) concept of cultural capital and draws from Yosso‟s (2005) model of “community cultural wealth” to explore the specific tension of linguistic capital in relation to immigrant teacher candidates. Findings from a qualitative study explore the challenges immigrant teacher candidates experience as they move through a pre-service teacher education program.
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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 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) | 0.003 | 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