Understanding the relationship between smoking and pain
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
This review provides an overview of evidence regarding several key mechanisms pertinent to understanding the co-occurrence of smoking dependence and pain, both potentially costly conditions, and highlights treatment implications and future research directions. We describe each of pain and smoking dependence and introduce a revised integrative reciprocal model that explains their co-occurrence. We then provide a selective review of evidence pertinent to direct and indirect pathways between variables postulated in the model. We also provide general recommendations for improving assessment and treatment of smokers with clinically significant pain. We conclude with a targeted agenda for future investigation of the co-occurrence of smoking and pain. Empirical efforts directed at testing postulates of the proposed integrative model may yield a better understanding of the nature of the relationship between these prevalent and costly health conditions as well as evidence-based preventive and treatment strategies for people who experience nicotine dependence and pain-related disability.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 it