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Record W4244758148 · doi:10.4324/9780203928639-13

From Library to Cybrary: Changing the Focus of Library Design and Service Delivery

2013· book-chapter· en· W4244758148 on OpenAlexaff

Bibliographic record

Venuenot available
Typebook-chapter
Languageen
FieldComputer Science
TopicWeb and Library Services
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsFocus (optics)Service delivery frameworkService (business)Service designLibrary scienceBusinessSociologyComputer scienceMarketingPhysics

Abstract

fetched live from OpenAlex

Let us imagine that to speak of a cybrary is a way of moving the idea of the library into cyberspace. The cybrary will be enabled by existing technologies and buffeted by new knowledge economies, but it will also be shaped by the legacy of the library. The library has always been a public and private space for bringing together books, ideas, and people. In the case of the English language, this duality and its resulting tension enters very early in the history of the language. The library was private before it was public. In defining the word, the Oxford English Dictionary (OED) holds up Chaucer’s reference to “the walles of thi lybrarye” in his book Boethius, circa 1374, as the first published use of the word. And yet, within 75 years of Chaucer’s instance—and still before the invention of the printing press—library was also being used to refer to a place, as the OED defines the second meaning of the word: “containing a collection of books, for the use of the public or of some particular portion of it.” 1 The clerical and university libraries of medieval times were the first to give library its public sense. It amounted to a limited public, to be sure, who wandered freely among those manuscripts, and such limits form the very theme of this chapter. The element that should most concern us in the ongoing formation of the cybrary, I argue, is the public scope of the scholarly pursuit of knowledge, and what can be done to expand and extend it. 2 The library is both public and private in a number of senses; there is a governed and ungoverned quality to the time spent there. What that means in terms of the cybrary is best suggested by a little more etymology on the cyber side of this new coinage.

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)0.022
metaresearch head score (Gemma)0.024
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.051
Threshold uncertainty score0.338

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0220.024
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0040.005
Science and technology studies0.0130.030
Scholarly communication0.0510.041
Open science0.0040.021
Research integrity0.0070.009
Insufficient payload (model declined to judge)0.0160.005

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.

Opus teacher head0.015
GPT teacher head0.170
Teacher spread0.155 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreOther

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

Citations3
Published2013
Admission routes1
Has abstractyes

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