025 The Efficiency-Validity Methodological Continuum (EVMC) For Sustainable Guideline (CPG) Development: A Negotiating Tool for Credible Compromises in Quality for Affordable Trustworthy Guidelines
Bibliographic record
Abstract
Background Research methodologists and guideline sponsors are on a collision course as growing demands for scientific rigour raise costs and lengthen delays in CPG production. Objectives To design a tool for CPG developers and sponsors to negotiate methodological compromises while preserving CPG trustworthiness. There are already variations in CPG quality that we tolerate. Flawless systematic reviews and guidelines are unrealistic. Methodological compromises are inevitable and imposed by practical constraints. Negotiating and reporting methodological compromises can fill a transparency gap where methodological choices are made in the development of a CPG. Methods Three individuals with guideline development experience collaborated to design a tool that aligns stakeholders’ interests while preserving ‘trustworthiness’ and enhancing transparency. Results The Efficiency-Validity Methodological Continuum (EVMC) is anchored at the extremes by “practical” at the “efficiency” pole and “best achievable” at the “validity” pole, highlighting the tradeoffs. The continuum between these is represented as a solid line. A ‘zone of preference’ closer to the ‘validity’ and a ‘zone of acceptability’ closer to efficiency are negotiating zones. Beyond the anchors, represented as broken lines, are “expedience” at the efficiency end and “ideal” at the validity end. Guideline development should operate within the solid segment of the continuum. The broken segment towards ‘expedient’ risks methods with unacceptable threats to validity; and towards ideal, an unaffordable standard not worth the incremental costs. Examples highlight the tool’s utility. Conclusions Negotiating and reporting compromises in methodological quality can lead to sensible, transparent methodological choices acceptable to both CPG developers and sponsors.
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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 | 0.345 | 0.480 |
| Meta-epidemiology (narrow) | 0.001 | 0.002 |
| Meta-epidemiology (broad) | 0.001 | 0.003 |
| Bibliometrics | 0.008 | 0.005 |
| Science and technology studies | 0.007 | 0.019 |
| Scholarly communication | 0.023 | 0.017 |
| Open science | 0.005 | 0.027 |
| Research integrity | 0.011 | 0.012 |
| Insufficient payload (model declined to judge) | 0.035 | 0.009 |
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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.
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".