After the death of a friend: Young Men's grief and masculine identities
Bibliographic record
Abstract
Young men can have an uncomfortable relationship with grief. Socially constructed masculine ideals dictate that men be stoic in the aftermath of loss, most often expressing their sadness and despair as anger. Perhaps because of alignment to such masculine ideals little research has been done to explore young men's grief--and chronicle the ways they think about loss, their responses and how they go about describing their identities after a tragic event. Using qualitative individual interviews and photo elicitation methods, we investigated the ways in which 25 men aged 19-25 grieved the accidental death of a male friend. The study was conducted from April 2010-December 2011. Causes of death were diverse, and included motor vehicle accidents, adventure sports, drug overdose and fights. The findings revealed men's predominant grief responses as emptiness, anger, stoicism and sentimentality. Participants' description of their grief responses illustrated the ways in which they struggled to reconcile feelings of vulnerability and manly ideals of strength and stoicism. We gained insight into men's grief practices by looking at the ways in which they aligned themselves with a post-loss masculine identity. These identities, which included the adventurer, father-figure and the lamplighter, revealed gender-specific processes through which men understood and actively dealt with their tragic loss. The results offer novel insights to men's grief and identity work that may serve to affirm other men's experiences as well as guide counselling services targeted to young men.
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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 | 0.002 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.007 | 0.004 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.000 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| 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 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".