Bibliographic record
Abstract
Health education is a major social, educational and political issue in today’s world and it is fundamentally tied to teacher-librarians and their important roles in promoting information literacy. Although this may be considered a new responsibility for schools, history shows that since the 19th century, schools have played vital roles in the prevention of diseases and in encouraging better health behaviors. This presentation presents some of the major current developments in health information literacy including guidelines suggested by the U.S. Centers for Disease Control through its CHSP program (Coordinated Health School Program). This program emphasizes the importance of schools serving all grades as important agents in promotion health information. UNESCO’s suggestions on how health information can be integrated in all curriculum areas are likewise highlighted in this discussion. Overall, the emphasis is practical and presents concrete suggestions about how teacher-librarians can and are assuming a leadership role in promoting health information literacy. Included are overviews of instructional strategies that have proven successful in promotion better health information in various communities. A major portion of the presentation highlights how health instruction can be integrated into curriculum areas that have not often been considered as venues for health information. These areas include literature, biography, art, music, and dance. For example, musicians, dancers, and artists, like athletes, have health issues that must be carefully considered in fulfilling their artistic goals. Likewise, biography offers examples of personalized models showing how a variety of persons have faced health crises. The presentation concludes with a review of how globalization is influencing health issues and how the teacher-librarian can better respond to those important developments now and in the future.
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 | 0.001 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.006 | 0.007 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.015 | 0.009 |
| Open science | 0.002 | 0.007 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.893 | 0.858 |
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".