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Record W2967154792 · doi:10.29173/iasl7167

Libraries on the Move: By Land, By Sea, and By Air

2017· article· en· W2967154792 on OpenAlexvenueno aff
Jennifer L. Moore, Aaron J. Elkins, Helen Boelens

Bibliographic record

VenueIASL Annual Conference Proceedings · 2017
Typearticle
Languageen
FieldComputer Science
TopicICT in Developing Communities
Canadian institutionsnot available
Fundersnot available
KeywordsStaffingDeveloping countryPovertyLiteracyMobile technologyBusinessPolitical scienceEconomic growthPublic relationsMobile deviceWorld Wide WebComputer scienceEconomics

Abstract

fetched live from OpenAlex

Libraries are critical to literacy development, particularly in developing nations where literacy rates are low, poverty rates are high, and resources are limited. School libraries in developing nations often suffer from inadequate resources, staffing, and facilities. Mobile libraries have been delivering resources and services via land and water routes to communities in developing nations, though their support of school children may be limited. Emerging technologies in the form of digital mobile libraries offer the potential to bring high quality resources and services to schools and communities. In this paper, the authors discuss/explore myriad mobile libraries, particularly in developing nations, the state of school library programs in developing nations, and the potential of digital mobile libraries to transcend the physical walls of libraries to better foster literacy for students and their communities.

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)0.002
metaresearch head score (Gemma)0.008
Version: metacan-v3-hybrid-931329e0061cValidation 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: Other · Consensus signal: Other
Teacher disagreement score0.962
Threshold uncertainty score0.246

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.008
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.005
Science and technology studies0.0130.010
Scholarly communication0.0380.032
Open science0.0010.014
Research integrity0.0040.004
Insufficient payload (model declined to judge)0.0740.024

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 head0.239
Teacher spread0.216 · 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 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
Published2017
Admission routes1
Has abstractyes

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