A Proposed Study on how Far Anger Contributes to Initiating Essential Hypertension in Canadian Caucasian Adults with a Family History of Hypertension
Bibliographic record
Abstract
The goal of the present correlational study is to test the hypothesis that anger initiates essential hypertension in Canadian Caucasian adults with a family history of hypertension. The study population will include a cohort of 100 men and women aged 25 to 45 years at enrollment recruited from the University of Ottawa General and Civic Hospitals. Participants who are normotensives will be included in the study given that they have a family history of hypertension. The Spielberger State Trait Anger Expression inventory (STAXI) scales will assess the three main dimensions of anger: State, Trait and Anger Expression. Using a semiautomated blood pressure machine, blood pressure measurements will be conducted by the attending nurse. It is hypothesized that during the three year study, participants with higher STAXI scores will more likely develop hypertension. Results obtained from the present study are expected to highlight the significant contribution of anger as a modifiable behavioral risk factor in the pathogenesis of hypertension.
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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 | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".