Impact Of Data Collection In A Polar Environment On Physiological Fitness: A Pilot Study
Bibliographic record
Abstract
Physiological demands in a polar environment come with challenges. However, identifying a minimum fitness threshold for the safety of researchers working in these environments is still being determined. PURPOSE:: To observe the fitness changes after 1 to 2 months in a polar environment during midnight sun with research students. METHODS: Two teams, comprising 4 master students (1 man and 3 women per team, aged 27 ± 3 years) assigned to Bylot Island for environmental research were recruited. Anthropometric measures (%body fat and lean mass), maximal aerobic running speed on a treadmill test, strength tests (grip strength, 1RM leg press), endurance tests (push-up and chair position), and flexibility tests (sit and reach and ankle mobility test) were conducted before and after the expedition (pre-VS. post). Given the sample characteristics, a paired Wilcoxon was used. RESULTS: No significant difference was observed for the %body fat (17,4 ± 5,8 VS 17,1 ± 6,0%, Z = -0,93, p = 0,35) and lean mass (24,6 ± 8,2 VS 23,4 ± 9,5 kg, Z˂0,001, p = 1,00), the VO2peak (50 ± 5 VS 49 ± 3 ml/kg/min, Z = -0,95, p = 0,34), maximal speed running (14 ± 1 VS 14 ± 1Km/h, Z = -1,00, p = 0,32), the 1RM leg press (369 ± 67 VS 429 ± 83 lb, Z = -1,82, p = 0,07), the chair position (132 ± 34 sec, Z˂0,001, p = 1,00) and the flexibility at sit and reach and the ankle mobility (30 ± 5 VS 29 ± 6 cm, Z = -0,54, p = 0,59 and 17 ± 5 VS 16 ± 4 cm, Z = -1,86, p = 0,06 respectively). However, grip strength (66,5 ± 27,8 VS 74,8 ± 21,9 kg, Z = -2,24, p = 0,03) and the push-up (19 ± 6 VS 24 ± 11 repetitions, Z = -1,95, p = 0,05) were significantly higher post-expedition. CONCLUSIONS: The participant demonstrated physical capacities within the good or excellent fitness categories for their age and sex, as per the ACSM guidelines. No signs of physical ability decay or stress injuries were observed post-expedition. The on-site nutritional balance and physical preparation seemed adequate for their work demands in the polar environment. Additionally, the tasks performed during the research contributed to an improvement in upper body strength and endurance. 6000 and used of Grammarly to improve the english
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.
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 | 0.008 | 0.011 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".