Research as Part of the Web Site Development Process: The Case of School Libraries Online
Bibliographic record
Abstract
IASL's Webmaster discusses the part that research has played in the ongoing development of IASL's Web site School Libraries Online. Established in 1995, the Web site was 10 years old at the time this article was written; a brief history of the site is provided. Work on the site has been guided by a strategic planning process in the context of which research results have informed decision-making. Desk research provided background information that was important in the establishment of the Web site. This included an "internal environment" scan that focused on developing an understanding of the Association and its members and an "external environment" scan that focused on Internet trends and developments. With the site well established, ongoing environment scanning has continued to inform development. Users' needs have been monitored on an ongoing basis through two main strategies: analysis of the weekly and monthly reports from the Web site search engine, and analysis of the statistical information provided by a user tracking service.
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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 | 0.044 | 0.073 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.005 | 0.007 |
| Science and technology studies | 0.031 | 0.031 |
| Scholarly communication | 0.024 | 0.025 |
| Open science | 0.004 | 0.012 |
| Research integrity | 0.008 | 0.006 |
| 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".