Bibliographic record
Abstract
Anger, fear, and sadness are frequently described emotions that are experienced by many young people in care, but there is another common emotion that is less often named and understood. Shame — the deep sense of not belonging, of being defective or deficient in some way, of feeling unlovable — is a painful and pervasive social emotion that also involves our thinking processes and sense of self-worth. It has been described as a “pit of despair” that “envelops” many young people in care, a toxic force that drives behaviours we struggle to understand including some aggression and self-harm. Referencing Nathanson’s Compass of Shame, this article looks at some common coping strategies as well as masks or proxies of shame including the so-called “impostor” phenomenon – even the “drive for normality” described by James Anglin in 2002 could be seen as an attempt to escape from shame’s isolating clutches. Strategies for helping young people understand and cope with shame, including the fostering of healthy connections and the judicious use of words, are then explored.
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 | 0.001 | 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) | 0.000 | 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".