Connecting with Community: The Importance of Community Engagement in Rural Public Library Systems
Bibliographic record
Abstract
While the topic of community engagement in public libraries has been researched in urban public library systems, little research explores community engagement in rural library systems. The Canadian province of Nova Scotia is largely rural and sparsely populated, with a dwindling and aging rural population. This report examines how community engagement can connect Nova Scotia’s rural public libraries with their communities. Librarians from eight predominantly rural library systems across the province were interviewed regarding the community engagement practices currently being used within their libraries and how their patrons (particularly youth) were reacting and responding to these practices. This article synthesizes the information derived from these interviews and provides a summary of the community engagement efforts being made throughout Nova Scotia. This study ultimately determines that while librarians in rural communities face a number of challenges when attempting to implement community engagement (e.g., small budgets and low staffing numbers), they remain extremely passionate about the topic and dedicated to serving their communities in the most meaningful and relevant way possible.
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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 | 0.006 | 0.011 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.022 | 0.012 |
| Scholarly communication | 0.010 | 0.004 |
| Open science | 0.001 | 0.014 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 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 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".