A Study on Core Values of University Libraries through Missions and Visions
Bibliographic record
Abstract
최근 대학도서관을 둘러 싼 변화의 속도는 전통적 대학도서관의 역할과 함께 가상공간에서의 통합서비스를 지원하는 하이브리드 도서관 환경을 요구하고 있다. 이러한 변화에 따라 대학도서관은 핵심 가치를 중심으로 그 사명과 비전을 검토 할 시점에 직면해 있다. 본 연구는 미국, 영국, 캐나다, 호주 등 대학도서관의 사명과 비전 선언서의 내용을 핵심 키워드를 중심으로 분석하였다. 이를 통하여 선진 대학도서관의 사명과 비전 선언서에서 제시하고 있는 핵심 가치가 무엇인가를 도출하고자 하였다. 아울러 선진 대학도서관들이 추구하고 있는 핵심 개념을 장서 및 정보자원, 서비스, 장소, 사람, 환경 및 기반시설, 커뮤니티, 모체 대학과의 관계 등으로 대별하고, 각 영역별로 그 핵심 가치를 제시하였다. 궁극적으로 본 연구는 아직 사명과 비전 선언서 수립이 일반화되지 않은 우리나라 대학도서관에 사명과 비전 수립을 위한 방향 제시와 기초 자료를 제공하고자 하였다. Recently, the speed of changes surrounding university libraries requires a hybrid library environment that supports integrated services, combining a virtual space with physical space of traditional libraries. Through changes, university libraries have faced the need to review their missions and visions, laying stress on the core values of university libraries. This study analyzed the central keywords in the contents of mission and vision statements of university libraries in America, England, Canada, and Australia. The research was acquired from mission and vision statements containing core values of developed university libraries. Core values are present in each area such as correction and information resources, services, place, people, environment and infrastructure, community, and parent-university relations. Ultimately, this study tried to provide the directions and the basic materials for the establishment of missions and visions for university libraries in Korea.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.022 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".