The social anatomy of Pain: Friendship loss, sociotemporal disparities, and persistent physical pain
Bibliographic record
Abstract
While research demonstrates that social network characteristics influence the experience of persistent physical pain, existing studies primarily focus on psychological aspects and are often confined to laboratory settings. This leaves critical gaps in understanding how these dynamics unfold in real-world contexts. One such gap involves the role of discretionary time availability, a key determinant of wellbeing. This is particularly important because friendship loss has temporal dimensions, as individuals must reallocate the time once shared with friends. Using data from the Canadian Time for Health Survey, this study adopts a three-stage analytical approach. First, bivariate analyses explore the distribution of self-reported pain by socioeconomic status (SES) and friendship loss. Next, binary logistic regressions examine the relationship between friendship loss and self-reported pain, accounting for time availability and relevant sociodemographic control variables. Finally, propensity score weighting and robustness tests evaluate whether otherwise similar individuals - differing only in their experience of friendship loss - report distinct levels of persistent physical pain. This research illustrates that: (i) friendship loss is a significant predictor of persistent physical pain; (ii) respondent sociodemographic characteristics shape the experience; (iii) both time excess and time poverty increase the expected risk of pain, suggesting the presence of Temporal Goldilocks Zones. In short, physical pain is concurrently a sociotemporal phenomenon, transcending individual characteristics.
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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 | 0.002 | 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 | 0.001 | 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".