The value of the International Association for the Study of Pain to career development: perspectives of trainee and early career members
Bibliographic record
Abstract
ABSTRACT: Supporting its young members has been a key priority of the International Association for the Study of Pain (IASP) for the past 5 decades. The IASP, along with its federations, chapters, and special interest groups, has provided benefits to its trainee and early career members for their career development. This article summarizes various key IASP initiatives and benefits offered to IASP members and how these benefits have positively impacted their careers, including examples from the authors of this article. Suggestions are made for future directions that the IASP could implement to enhance the value provided to its trainee and early career members, which will in turn contribute to IASP achieving its mission to stimulate and support the study of pain and to translate that knowledge into improved pain relief worldwide.
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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 | 0.022 | 0.021 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.016 | 0.009 |
| Scholarly communication | 0.018 | 0.006 |
| Open science | 0.001 | 0.012 |
| Research integrity | 0.005 | 0.013 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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".