Bibliographic record
Abstract
The purpose of this study is to explore the core learning needs being met from English exercises that are most helpful for Taiwanese nursing preprofessionals and in-service full-time nurses. The study focuses on the learning exercises that are most useful in the workplace, lists the five exercises used most and least frequently in school, compares exercises in terms of different proficiency levels, and refines the most important training components as common core learning needs for preprofessionals and in-service nurses. Subjects were randomly selected, and 60 female nursing majors were surveyed in a questionnaire about 18 learning exercises most teachers use in the classroom. Data was interpreted using a one-way analysis of variance. Then an a posteriori comparison was performed for those items reaching significance to gather advanced information on where the significance originates from. Based on the findings, the following common core learning needs have been identified: cultural notes for nursing, building medical vocabulary, and short expressions and medical information. The intended result of this study is to apply general English exercises such as vocabulary introduction, sentence patterns, and situational expressions to English for medical purposes exercises such as cultural notes for nursing, improving medical vocabulary, and reading medical journals for the benefit of both English for nursing purposes teachers and learners.
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 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 | 0.003 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| Insufficient payload (model declined to judge) | 0.000 | 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".