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Record W7135474739

Canadian university libraries and their information services

2007· dissertation· cs· W7135474739 on OpenAlexaboutno aff
Hana Storova

Bibliographic record

VenueDigital Repository (National Repository of Grey Literature) · 2007
Typedissertation
Languagecs
FieldComputer Science
TopicLibrary Collection Development and Digital Resources
Canadian institutionsnot available
Fundersnot available
KeywordsInformation systemInformation accessAcademic libraryNational libraryInformation science
DOInot available

Abstract

fetched live from OpenAlex

Bakalářská práce analyzuje a hodnotí současnou situaci kanadských univerzitních knihoven, se zvláštním zaměřením na jejich informační služby. V úvodní části je popsán historický vývoj kanadských univerzitních knihoven a jejich současná situace je zasazena do společenského kontextu. Další část se věnuje spolupráci kanadských univerzitních knihoven v rámci významné celonárodní Kanadské asociace vědeckých knihoven a v rámci silných regionálních asociací. Uvedeny jsou konkrétní příklady spolupráce. Jádrem práce je analýza a popis čtyř vybraných univerzitních knihoven: Knihovny Britskokolumbijské univerzity (University of British Columbia Library, http://www.library.ubc.ca/), Knihovny Univerzity Simona Frasera (Simon Fraser University Library, http://www.lib.sfu.ca/), Knihovny McGillovy univerzity (McGill University Library, http://www.mcgill.ca/library/) a Knihovny Albertské univerzity (University of Alberta. Library, http://www.library.ualberta.ca/). V závěru jsou shrnuty poznatky získané analýzou vybraných knihoven a situace kanadských univerzitních knihoven je stručně srovnána se situací v ČR.

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 imitation

Not 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.

metaresearch head score (Codex)0.005
metaresearch head score (Gemma)0.018
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesScholarly communication
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.970
Threshold uncertainty score0.934

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.018
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0050.024
Science and technology studies0.0240.006
Scholarly communication0.0300.009
Open science0.0020.008
Research integrity0.0050.003
Insufficient payload (model declined to judge)0.1410.019

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.

Opus teacher head0.004
GPT teacher head0.179
Teacher spread0.175 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2007
Admission routes1
Has abstractyes

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