Ramadan intermittent fasting induced poorer training practices during the COVID-19 lockdown: A global cross-sectional study with 5529 athletes from 110 countries
Bibliographic record
Abstract
ENWEndNote BIBJabRef, Mendeley RISPapers, Reference Manager, RefWorks, Zotero AMA Washif JA, B. Pyne D, Sandbakk Ø, et al. Ramadan intermittent fasting induces poorer training practices during the COVID-19 lockdown: A global cross-sectional study with 5529 athletes from 110 countries. Biology of Sport. 2022;39(4). doi:10.5114/biolsport.2022.117576. APA Washif, J. A., B. Pyne, D., Sandbakk, Ø., Trabelsi, K., Aziz, A., & Beaven, C. M. et al. (2022). Ramadan intermittent fasting induces poorer training practices during the COVID-19 lockdown: A global cross-sectional study with 5529 athletes from 110 countries. Biology of Sport, 39(4). https://doi.org/10.5114/biolsport.2022.117576 Chicago Washif, Jad A, David B. Pyne, Øyvind Sandbakk, Khaled Trabelsi, Abdul Rashid Aziz, Christopher M Beaven, and Isabel Krug et al. 2022. "Ramadan intermittent fasting induces poorer training practices during the COVID-19 lockdown: A global cross-sectional study with 5529 athletes from 110 countries". Biology of Sport 39 (4). doi:10.5114/biolsport.2022.117576. Harvard Washif, J., B. Pyne, D., Sandbakk, Ø., Trabelsi, K., Aziz, A., Beaven, C., Krug, I., Mujika, I., Ammar, A., Chaouachi, A., Moussa-Chamari, I., Aloui, A., Chtourou, H., Farooq, A., Haddad, M., Romdhani, M., Salamh, P., Tabben, M., Wong, D., Zerguini, Y., DeLang, M., Taylor, L., Ben Saad, H., and Chamari, K. (2022). Ramadan intermittent fasting induces poorer training practices during the COVID-19 lockdown: A global cross-sectional study with 5529 athletes from 110 countries. Biology of Sport, 39(4). https://doi.org/10.5114/biolsport.2022.117576 MLA Washif, Jad et al. "Ramadan intermittent fasting induces poorer training practices during the COVID-19 lockdown: A global cross-sectional study with 5529 athletes from 110 countries." Biology of Sport, vol. 39, no. 4, 2022. doi:10.5114/biolsport.2022.117576. Vancouver Washif J, B. Pyne D, Sandbakk Ø, Trabelsi K, Aziz A, Beaven C et al. Ramadan intermittent fasting induces poorer training practices during the COVID-19 lockdown: A global cross-sectional study with 5529 athletes from 110 countries. Biology of Sport. 2022;39(4). doi:10.5114/biolsport.2022.117576.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".