Looking beyond Disfigurement: The experience of Patients with Head and Neck Cancer
Bibliographic record
Abstract
Despite the frequent occurrence of head and neck cancer (HNC) disfigurement, little is known about its psychosocial impact on patients. This study aimed to understand the lived experience of disfigurement in HNC and explore what patients considered to be its influences. Fourteen disfigured HNC patients participated in a 45-to-120-minute in-depth, semistructured interview, which was analyzed qualitatively using interpretive phenomenology. A majority of participants (64 percent) were considered to be at an advanced cancer stage (stage III or stage IV). Patients' experiences revolved around the concept of a ruptured self-image (a discontinuity in sense of self). Forces triggering this ruptured self-image created a sense of "embodied angst", in which disfigurement served as a constant reminder of the patient's cancer and associated foundational malaise. Other influences fostered a sense of normalcy, balance, and acceptance. Participants oscillated between these two states as they grew to accept their disfigurement. This study's findings could guide supportive interventions aimed at helping patients face head and neck surgery.
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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 | 0.000 | 0.000 |
| Science and technology studies | 0.003 | 0.004 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 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".