The Evaluation of Cardiovascular Endurance Test for Male Cadet Officers
Bibliographic record
Abstract
The aim of this research is to measure a cardiovascular endurance performence for 18 year old male cadet officers. The descriptive quantitative research is carried out by experimental observation by using a 2.4 km Run Test as the instrument. A total of 120 respondents is selected by random in the Foundation Programme NDUM Session 2013/2014 in the research. Descriptive Statistics is used to explain the characteristics of the sample. The analysis of data used is mean, median and standard deviation. The findings showed the level of cardiovascular endurance fitness for the male cadet officers in the Foundation level in NDUM is at a very satisfactory level ( M=10.86, SD=0.91) with the normal percentile norm and recorded time 11.13 minutes that is located at the 50th percentile and above. The fitness norm is produced by using guidelines layed out by Cooper (2007). Therefore, the norms that has been produced is recommended to be utilized widely to measure the level of cardiovascular endurance fitness for an 18 years old male.
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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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".