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Record W3139577078 · doi:10.29173/iasl7710

Principals, School Library, SL Professionals, Learning Outcomes, Partnerships, and SL Web Advocacy

2021· article· en· W3139577078 on OpenAlexvenueno aff
Marie José Vitorino

Bibliographic record

VenueIASL Annual Conference Proceedings · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicOnline and Blended Learning
Canadian institutionsnot available
Fundersnot available
KeywordsPrincipal (computer security)TeamworkCurriculumPublic relationsProfessional developmentPsychologyPedagogyMedical educationPolitical scienceSociologyMedicineComputer science

Abstract

fetched live from OpenAlex

Even within many different school leadership styles, it seems to be an evidence to many SL professionals that Principal’s role is always a key factor for SL services, curriculum enhancement and learning outcomes, valuing or, in the contrary, giving hard times to SL professionals projects and SL teamwork. School Principal ́s role is particulary important concerning teachers-SL cooperation, the very heart of learning success. How could each SL professional and each SL professional team learn to act wisely, improving communication and advocacy skills, managing strategies according to different School Principal’s profiles and contexts? Which are School Principal’s “valued” information sources on SL issues – official, professional, networking, public librarians sources? And which, and how, could be reinforced, locally, nationally and internationally (IASL included)? Web 2.0 is making/could make/should make a difference for these purposes?

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)0.011
metaresearch head score (Gemma)0.032
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: Other · Consensus signal: none
Teacher disagreement score0.019
Threshold uncertainty score0.064

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0110.032
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0040.003
Scholarly communication0.0080.005
Open science0.0010.006
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0190.002

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 head0.040
GPT teacher head0.331
Teacher spread0.291 · 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
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

Citations0
Published2021
Admission routes1
Has abstractyes

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