‘Something is Not Okay’: Bodily Expressions of Grief for Street-Involved Youth
Bibliographic record
Abstract
The experiences of grieving among street-involved youth are both highly visible and invisible. Their actions of living outside, engaging in money-making by approaching passersby, trading in and using drugs and alcohol, or simply hanging around in public spaces make them exposed and visible to the public. Yet, the stories that brought youth to the street and the scope of the losses they have sustained are hidden. Henry Giroux (2006, 175) describes the aftermath of Hurricane Katrina as the new ‘biopolitics of disposability’ in that poor and racialised groups ‘not only have to fend for themselves in the face of life’s tragedies but are also supposed to do it without being seen by the dominant society’. This Photo Essay makes visible the bodily expressions of grief from participants in my doctoral research, Grieving Online, to create understanding into the profound losses and ways in which they cope.
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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 | 0.003 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.011 | 0.023 |
| Scholarly communication | 0.007 | 0.005 |
| Open science | 0.001 | 0.009 |
| Research integrity | 0.003 | 0.005 |
| Insufficient payload (model declined to judge) | 0.004 | 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".