Perfil de estrés y estrés crónico en migrantes mexicanos en Canadá
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
OBJECTIVE: Establishing an association between high chronic stress levels and variables considered to be negative regarding the stress profile for Mexican migrants living in Edmonton, Canada. METHODS: A simple random technique was used for choosing the target population; the sample size involved 58 migrants. The Nowack Stress Profile and Maslach Burnout Inventory were used to identify immigrants' stress symptoms during 2010-2011. RESULTS: Chronic stress levels were classified as being 24 % high, 45 % medium and 21 % low. Statistical regression analysis determined that a stressful situation and threat minimisation were predictors for developing high levels of chronic stress. CONCLUSIONS: Stress situation and threat minimisation were predictors for developing high levels of chronic stress; migrant women (unlike males) tended not to use threat minimisation to deal with stress.
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.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.002 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.008 | 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 it