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Record W1971255115 · doi:10.1108/03074800210428551

Providing digital opportunities through public libraries: the Canadian example

2002· article· en· W1971255115 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.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueNew Library World · 2002
Typearticle
Languageen
FieldSocial Sciences
TopicLibrary Science and Administration
Canadian institutionsnot available
Fundersnot available
KeywordsGeneral partnershipWork (physics)LaptopThe InternetDigital divideInternet accessFoundation (evidence)Public relationsLibrary scienceBusinessPolitical sciencePublic administrationWorld Wide WebEngineeringComputer scienceFinance

Abstract

fetched live from OpenAlex

This article describes the Bill & Melinda Gates Foundation’s work in providing grants to public libraries in low‐income communities above the 60th parallel in Canada. Through its Canadian Partnership program, the foundation granted $18.2 million to 1,466 libraries throughout the country, funding the purchase of over 4,000 computers, 27 training labs, and 16 laptop training labs. The area described in the article includes some of Canada’s most remote regions and required unique efforts to bring Internet access and information technology to low‐income communities in the territories of the Yukon, the Northwest Territories and Nunavut. The computers helped many residents with literacy skills, increased job opportunities, and provided a host of other advantages. The foundation’s experience proved that the long‐range benefits to communities are only truly seen when such initiatives are community‐driven.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Scholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesScholarly communication
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.679
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0020.001
Scholarly communication0.0060.030
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0120.000

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 head0.246
GPT teacher head0.271
Teacher spread0.025 · 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