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Record W341903662 · doi:10.29173/iasl7730

Promoting a reading culture in school community: how to engage reading activities cross curricula, directors, teachers, students, parents, administrative services, local authorities, public libraries and other partners – Relating a project

2021· article· en· W341903662 on OpenAlexvenueno aff
Ana Bela Martins, Alexandra Angélica Marques

Bibliographic record

VenueIASL Annual Conference Proceedings · 2021
Typearticle
Languageen
FieldComputer Science
TopicEducational Methods and Media Use
Canadian institutionsnot available
Fundersnot available
KeywordsCurriculumGeneral partnershipSchool libraryPromotion (chess)Reading (process)Lifelong learningInformation literacyLiteracyRelevance (law)PedagogyPublic relationsSociologyMedical educationPolitical scienceComputer scienceLibrary scienceMedicine

Abstract

fetched live from OpenAlex

The main purpose of this paper is to present how an intensive collaboration between the National Portuguese Reading Plan and the School Libraries Network Programme plays an important role in the promotion of reading literacy as a baseline to develop all kinds of other literacy abilities and empower the role of school libraries and the collaborative work between the school community and the school library, by reporting on one of the most significant projects, which shows the relevance of this partnership. School libraries are a privileged structure in the school for skill development, not only in accessing information, available locally or remotely, enabling students with critical thinking, transforming information to knowledge, supporting curricula, but also in readers training and the promotion of reading habits, which is a basic tool for lifelong learning.

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)0.009
metaresearch head score (Gemma)0.012
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.010
Threshold uncertainty score0.047

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0090.012
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0100.006
Scholarly communication0.0090.008
Open science0.0020.013
Research integrity0.0030.003
Insufficient payload (model declined to judge)0.0070.003

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 head0.082
GPT teacher head0.382
Teacher spread0.300 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreEmpirical

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

Citations4
Published2021
Admission routes1
Has abstractyes

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