MétaCan
Menu
Back to cohort
Record W2603024280 · doi:10.29173/cais959

Understanding Community Needs: A Step Closer to a Digital Library for Communities in Canada’s North

2016· article· fr· W2603024280 on OpenAlex
Dinesh Rathi, Ali Shiri, Sandy Campbell, Robyn Stobbs, Anastasia Piltingsrud, Sharon Farnel, Cathy Cockney

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.

venuePublished in a venue whose home country is Canada.
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

VenueProceedings of the Annual Conference of CAIS / Actes du congrès annuel de l ACSI · 2016
Typearticle
Languagefr
FieldComputer Science
TopicInformation Retrieval and Search Behavior
Canadian institutionsnot available
Fundersnot available
KeywordsLibrary scienceSettlement (finance)Political scienceGeographySociologyEthnologyComputer scienceWorld Wide Web

Abstract

fetched live from OpenAlex

This paper provides insight into the findings from a survey conducted with community members in the Inuvialuit Settlement Region (ISR) in Canada’s North. The survey was conducted to develop a deeper understanding of needs and information seeking behaviour of users in ISR. The findings from the survey will be useful in developing a digital library (DL) platform for communities in ISR. Cet article donne un aperçu des résultats d'une enquête menée auprès des membres de la communauté de la région désignée des Inuvialuit (RDI) dans le Nord du Canada. L'enquête a été menée afin d’obtenir une meilleure compréhension des besoins et des comportements de recherche d'information des utilisateurs dans la RDI. Les résultats de l'enquête seront utiles au développement d’une plate-forme de bibliothèque numérique (BN) pour les communautés en RDI.

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)0.005
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScholarly communication
Consensus categoriesScholarly communication
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.473
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0040.027
Open science0.0040.002
Research integrity0.0000.000
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 head0.100
GPT teacher head0.251
Teacher spread0.152 · 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