Driving Change: Creating a Policy Brief to Position the School Library as a Hub for Global Citizenship
Bibliographic record
Abstract
The policy brief is an instrument that can be used both in the workplace and in educational settings to tie knowledge to a call for action. This paper reflects on an MLIS candidate’s experience of creating a policy brief to call on school libraries to become key players in promoting peaceful societies. This paper outlines the context in which the policy brief was created, offers a reflection on the learning experience of writing a policy brief, and includes the policy brief itself. The brief begins by contextualizing a particular public school board, Edmonton Public Schools (EPS) in Canada, as one whose policies aim to serve a diverse population. Canada is a multicultural nation with the highest population growth of the G7 countries and immigration accounting for two-thirds of that growth. This paper argues that the library, with social justice values at its core, is well situated to enable EPS to move toward such a vision, but that current EPS policy has not protected libraries. The brief argues that EPS should commit to ensuring that every school has a library, staffed with an LIS-trained teacher-librarian. The overarching goal of the brief is to demonstrate that school libraries can become a hub for global citizenship that facilitates and spearheads a drive for social justice in Edmonton’s children and youth—the leaders of tomorrow.
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How this classification was reachedexpand
Direct model labels (unvalidated)
Per-model category and study-design labels from the labeling rounds. They are machine output, unvalidated, and the disagreement between models ships as data. No study design here is MEDLINE-validated yet.
| Model arm | Categories | Study design | Confidence |
|---|---|---|---|
| gemma | no category Domain: not available · Genre: Other About the Canadian research system: no · About a Canadian topic: no | Not applicable | low |
| gpt | no category Domain: not available · Genre: Commentary About the Canadian research system: no · About a Canadian topic: no | Theoretical or conceptual | low |
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 | 0.068 | 0.082 |
| Meta-epidemiology (narrow) | 0.001 | 0.002 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.024 | 0.015 |
| Scholarly communication | 0.042 | 0.035 |
| Open science | 0.005 | 0.023 |
| Research integrity | 0.041 | 0.029 |
| Insufficient payload (model declined to judge) | 0.014 | 0.005 |
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, unvalidatedLabeled directly by 2 models reading the full record.
The models disagree on parts of this classification; every voice is preserved in the section at the end of the page.
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".