The Experiences of People Living With Chronic Pain During a Pandemic: “Crumbling Dreams With Uncertain Futures”
Bibliographic record
Abstract
People living with chronic pain experience multiple challenges in their daily activities. Chronic pain is complex and often provokes life circumstances that create increased social isolation. Living with chronic pain during the pandemic may add additional layers of complexity to their daily lives. The researchers endeavored to explore the experiences of people living with chronic pain during the COVID-19 pandemic. Researchers conducted semi-structured, open-ended interviews about how the pandemic influenced participants' lives. The interviews were recorded and analyzed using an applied philosophical hermeneutics approach. The findings were feeling socially isolated, losing their sense of livinghood, and experiencing augmented stress levels which, in most cases, aggravated their chronic pain. In addition to gaining an in-depth understanding of the needs of people living with chronic pain, these findings may guide policy decisions with the intention of improving health care access and the overall experiences of people living with chronic conditions during a pandemic.
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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 | 0.011 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.016 | 0.027 |
| Scholarly communication | 0.007 | 0.010 |
| Open science | 0.001 | 0.011 |
| Research integrity | 0.003 | 0.007 |
| Insufficient payload (model declined to judge) | 0.003 | 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".