Pain and the field of affordances: an enactive approach to acute and chronic 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
Abstract In recent years, the societal and personal impacts of pain, and the fact that we still lack an effective method of treatment, has motivated researchers from diverse disciplines to try to think in new ways about pain and its management. In this paper, we aim to develop an enactive approach to pain and the transition to chronicity. Two aspects are central to this project. First, the paper conceptualizes differences between acute and chronic pain, as well as the dynamic process of pain chronification, in terms of changes in the field of affordances. This is, in terms of the possibilities for action perceived by subjects in pain. As such, we aim to do justice to the lived experience of patients as well as the dynamic role of behavioral learning, neural reorganization, and socio-cultural practices in the generation and maintenance of pain. Second, we aim to show in which manners such an enactive approach may contribute to a comprehensive understanding of pain that avoids conceptual and methodological issues of reductionist and fragmented approaches. It proves particularly beneficial as a heuristic in pain therapy addressing the heterogenous yet dynamically intertwined aspects that may contribute to pain and its chronification.
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) | 0.000 | 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 | 0.000 |
| 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 it