An evaluation of the opportunities and impediments in managing quota fisheries for biodiversity
Bibliographic record
Abstract
In order to study the factors related to Enterobius vermicularis infection among pre-school children in Ta-Liao District of Kaohsiung County, a questionnaire was designed to interview parents of preschool children selected by random sampling from 7 kindergartens in Ta-Liao District. Enterobius infections in the children were then examined by using two-consecutive-day adhesive cellophane paper perianal swabs. The effective sample numbered 555 children. Variables causing the infection among infected and non-infected children were analyzed by chi-square test and point-biserial correlation. The results indicated that there were significant relationship between infection and the follow items: having snacks; sucking fingers; size of house; ways of cleaning house; place of activities; parent's cognizing that anus is the polluted source of eggs; recognition of the cause-and-effect relationship between eating in the bedroom and being reinfected with Enterobius; recognition of preventing reinfection of Enterobius by taking a shower; and educational background of father. Through logistic regression analysis with backward selection, the authors constructed a predicting model which can predict the infection rate of E. vermicularis among pre-school children according to the habit of having snacks, the habit of sucking fingers, size of house, parent's recognizing that taking a shower can prevent people from reinfection, and the educational background of father.
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How this classification was reachedexpand
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 | 0.009 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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 teacher head, 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".