Bibliographic record
Abstract
The purpose of this study was to survey the basic data for Korean mental health status (somatization, depression, anxiety, hostility, Sensitivity) in Canada. A descriptive study has been conducted to report Korean mental health states, to identify the risk factors associated with mental health. Three hundred eighty six Korean in Canada were analyzed by visit-survey with an organized questionnaire. SCL-90-R for measurement of mental health was used. The data collected using SPSS 17.0 frequency, percentage, mean, standard deviation, t-test, ANOVA, Pearsons Correlation Coefficient was analyzed. Somatization was 7.54±6.04 ranged 0 to 32, depression was 9.07±6.86 ranged 0 to 38, anxiety was 28±5.10 ranged 0 to 28, hostility was 2.89±3.05 ranged 0 to 22, and sensitivity was 5.83±4.66 ranged 0 to 30. This study shows that a number of characteristics of the Korean immigrants in Canada affect levels of mental health states, the most noticeable of these factors being sex, job, immigration satisfaction and heath state. (Korean J Str Res 2010;18:191∼199)
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.009 | 0.002 |
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".