“You told me it was too late”: An autoethnographic reflection on (not) knowing and bereavement
Bibliographic record
Abstract
A parent diagnosed with terminal cancer is focused on their own struggle with life and death. They often do not have the mental capacity to think rationally about what is in the best interest of their child at this time. Without a doubt, the grieving process of a child 1who is informed about their parent’s diagnosis will have a different experience than a child who is not informed. Following on an autoethnographic approach I will revisit my past experience of my mom’s diagnosis with lung cancer and my father’s diagnosis of a cancerous tumor on his vocal cords as I share, explore, and reflect upon my involvement in both matters. These experiences will be shared along with the six stages of grief by Elisabeth Kübler-Ross and David Kessler as I provide a deeper understanding of how a child being informed or uninformed throughout the diagnosis can impact their feelings of guilt and sorrows leading up to death. Keywords: Palliative care, Cancer, Children, Parental Cancer, Communication, Relationship, Behaviour
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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 | 0.009 | 0.016 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.012 | 0.018 |
| Scholarly communication | 0.005 | 0.005 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.003 | 0.009 |
| 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".