How to ‘fail’ in school without really trying: queering pathways to success
Bibliographic record
Abstract
In this paper we explore our experiences working with queer and trans youth who have taken ‘non-traditional’ pathways out of high school. Drawing on Foucauldian theories of normalisation and Halberstam’s queerings of time, success, and failure, we consider how certain aspects of schooling have shaped queer and trans youths’ desire to seek out GEDs or early entrance into post-secondary school as strategies to escapes their high school environments. Through our reflection on our experiences with these students, we have identified some of the barriers that these students faced with regard to high school completion. Additionally, we found the tension between success and failure often shaped the alternative paths these queer and trans youth had chosen in an effort to negotiate their schooling experience. In the end, we question the current organisation of secondary schooling and suggest that a (re)envisioning of alternative educational pathways out of secondary schooling would provide destigmatising, non-normative modes of engagement with schools and learning.
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 machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.006 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.021 | 0.047 |
| Scholarly communication | 0.012 | 0.011 |
| Open science | 0.002 | 0.012 |
| Research integrity | 0.002 | 0.007 |
| Insufficient payload (model declined to judge) | 0.007 | 0.001 |
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 source (direct Gemma or distilled Codex), 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".