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Record W4393987348 · doi:10.1080/10572317.2024.2337605

Change is the Only Constant: Libraries After COVID Pandemic

2024· article· en· W4393987348 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueThe International Information & Library Review · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicLibrary Science and Administration
Canadian institutionsWilfrid Laurier University
Fundersnot available
KeywordsPandemicContext (archaeology)Coronavirus disease 2019 (COVID-19)Work (physics)Public relationsSubject (documents)Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)Political science2019-20 coronavirus outbreakSociologyLibrary scienceHistoryEngineeringMedicineComputer scienceVirology

Abstract

fetched live from OpenAlex

While change is a constant in libraries, this article will explore the changes that have occurred and may yet be discovered following the COVID pandemic. 2020 has been referred to as the year the Earth stood still. Yet for libraries, it was a year of tremendous change with quick adaptations in order to support our student and faculty populations while seeking to preserve the safety and health of library colleagues. The authors will explore what external factors are driving the post-pandemic changes, the practices that were standard that no longer work, and emerging changes in practices. While the authors work in a North American context as well as in academic and research library context, they will explore literature from around the world. The authors bring their experience as library leaders and subject expertise to the consideration of the impact of the pandemic on library efforts and operations.

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.

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesScholarly communication, Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Commentary · Consensus signal: Commentary
Teacher disagreement score0.772
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0020.022
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0080.001

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 head0.071
GPT teacher head0.332
Teacher spread0.261 · 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