Challenging the Tropes of Neoliberalism in Discussions of Newcomer Youth in Canada
Bibliographic record
Abstract
In this re-examination of empirical data sets, we reconceptualize, from the perspectives of numerous stakeholders, the limits of identity positions available to immigrant adolescents who enter schools in immigrant-receiving schools and neighbourhoods already experiencing racism, intergenerational poverty, lack of social, economic, and cultural capital, and large numbers of English language learners. Research data referenced from three separate secondary schools in this context examined the social integration of English as a second language/additional language students within a variety of school-related contexts, related policies and students’ encounters with them, and students’ experiences of academic segregation and mainstreaming. Our re-reading of data through a lens critical of neoliberalism reveals how educational stakeholders, including students, buy into and replicate specific tropes of neoliberalism, which may be damaging in the long run. We urge educators to re-examine the language we use to describe students who are multilingual learners and that they consequently use to describe themselves.
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) | 0.002 | 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".