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Record W4310102466 · doi:10.29173/iasl8554

It Doesn't Mean What You Think It Means

2022· article· en· W4310102466 on OpenAlexvenueno aff
Elizabeth A. Gross

Bibliographic record

VenueIASL Annual Conference Proceedings · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicLibrary Science and Information Literacy
Canadian institutionsnot available
Fundersnot available
KeywordsPleasureReading (process)PsychologyWork (physics)PerceptionTest (biology)Position (finance)PedagogyPublic relationsSociologyMedical educationPolitical scienceBusinessMedicine

Abstract

fetched live from OpenAlex

A survey of stakeholders—superintendents, principals, and board members—explored their perceptions regarding the work of degreed librarians. Results showed that there is an understanding of school librarians’ contributions to student success in learning. When asked what the school librarian does, however, the responses focused on facilities management and read-for-pleasure suggestions. There is ample evidence that the work of the school librarian in the school community increases both standardized test scores and reading scores for an entire school where the librarian is a degreed teacher. Many of the respondents affirm that they are aware of these findings. The decision to retain a school librarian is often framed as a struggle between retaining a classroom teacher and retaining the librarian. Respondents said they understand the benefit of having a school librarian. However, the cognitive bias involved in thinking about the contributions of a school librarian does not secure the position of the school librarian. Prospect theory dictates that the decision to retain needs to be reframed in order to preserve access to school librarians’ contributions to the school community.

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)0.014
metaresearch head score (Gemma)0.050
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: Commentary · Consensus signal: none
Teacher disagreement score0.014
Threshold uncertainty score0.074

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0140.050
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0050.008
Scholarly communication0.0050.008
Open science0.0010.003
Research integrity0.0020.005
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 head0.029
GPT teacher head0.287
Teacher spread0.257 · 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
GenreCommentary

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
Published2022
Admission routes1
Has abstractyes

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