MétaCan
Menu
Back to cohort
Record W4210526017 · doi:10.33011/newlibs/11/9

A Sustainable Way Forward: A Team-based Approach to Tackling Textbook Access and Affordability Issues During the “New Normal”

2022· article· en· W4210526017 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.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueJournal of New Librarianship · 2022
Typearticle
Languageen
FieldComputer Science
TopicOpen Education and E-Learning
Canadian institutionsAlberta LibraryUniversity of Alberta
Fundersnot available
KeywordsDeskWorkflowInstitutionWork (physics)Service (business)Closure (psychology)Public relationsBusinessComponent (thermodynamics)Coronavirus disease 2019 (COVID-19)Political scienceLibrary scienceKnowledge managementEngineering managementManagementComputer scienceEngineeringMarketingMedicineEconomics

Abstract

fetched live from OpenAlex

Like all institutions across North America, The University of Alberta Library has experienced dramatic impacts on our services and collections due to the COVID-19 pandemic. Students at our large research institution have historically relied heavily on the Library’s extensive reserve collection of textbooks and other required course materials, the lending of which was suddenly suspended during a mid-term emergency closure. This column will highlight our team-based approach to aggressively promoting OER to our campus community: from engaging public service desk staff in new roles as their work suddenly shifted, strategizing with our collections team on identifying high impact courses, and establishing a communications approach with librarians. We will discuss how our “by-the-seat-of-our-pants” initial approach has evolved into a functional team with a diverse set of strengths, and a responsive workflow that incorporates OER services as an integrated component of existing library processes.

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
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.467
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0020.003
Open science0.0020.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.023
GPT teacher head0.275
Teacher spread0.251 · 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