Nuisance or necessity? Why robust peer review is critical for medical science
Bibliographic record
Abstract
Introduction Currently the Quality of Work Life (QWL) and psychosocial risks are identified as important indicators of health in workers, it is important to carry out studies that can describe the behaviour of them in organisations. The aim was to analyse the relationship between QWL and the presence of symptoms of depression or anxiety in the administrative female employees of a public university in Mexico. Methods These study was performed with a universe of 6455 employees and a probabilistic sample of 225 people. They all were applied the CVT-GOHISALO and Goldberg’s depression and anxiety questionnaires to measure their QWL and the presence of depression or anxiety symptoms. The Cronbach’s Alpha of CVT-GOHISALO is 0.9527 and the Goldberg’s depression and anxiety scale is 0.89. Results Only in one of the seven dimensions of CVT-GOHISALO instrument, the highest percentage of satisfaction was of high level, 49.3%, in all other dimensions the highest percentage of satisfaction was of low level. As for the presence of depression symptoms, 20.9% of the employees had them and anxiety symptoms occurred in 59.1%. In all dimensions, the higher satisfaction with the QWL and the absence of depression or anxiety symptoms were related. As well as low and medium level of satisfaction with the presence of depression or anxiety symptoms. All crosses were statistically significant, with p values for each dimension ranging between 0.000–0.046. Conclusions To the university administrative staff, there is a relationship between being satisfied with the QWL and the absence of depression or anxiety symptoms. High satisfaction with QWL, is a protective factor for not having depression or anxiety symptoms. The risk of developing depression or anxiety symptoms, is four times higher for those with low satisfaction level with their QWL than for those who have high satisfaction level.
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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 | 0.566 | 0.893 |
| Meta-epidemiology (narrow) | 0.004 | 0.006 |
| Meta-epidemiology (broad) | 0.019 | 0.005 |
| Bibliometrics | 0.024 | 0.020 |
| Science and technology studies | 0.012 | 0.064 |
| Scholarly communication | 0.045 | 0.027 |
| Open science | 0.014 | 0.020 |
| Research integrity | 0.026 | 0.030 |
| Insufficient payload (model declined to judge) | 0.056 | 0.047 |
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".