Bibliographic record
Abstract
Socially marginalized young people disproportionately experience the delegitimization of child and youth grief due to many compounding factors, such as the inaccessibility of support services, intensified familial stresses due to structural inequalities, and exclusionary social discourses. Indigenous children and youth in Canada (and in other “settler-states”) are commonly confronted not only with many of these challenges, but also with pervasive discourses which deny, rationalize, or otherwise attempt to justify the ongoing colonial violence and dispossession that they experience. This chapter explores these dynamics of loss and disavowal by focusing upon their manifestations within the broad social arena of education. Employing a decolonial lens, historical and contemporary cases are examined to illuminate the manufactured nature of the losses that Indigenous children and youth incur, as well the discourses which mask this reality. Undertaking this form of decolonial analysis has the potential to enrich scholarly and practitioner understandings of how social and political contexts give rise to dehumanized and ambiguous loss and result in the disenfranchisement and dispossession of grief.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.003 | 0.014 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 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".