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Record W288156381 · doi:10.29173/slw6955

Teaching Information Skills in the Information Age: An Examination of Trends in the Middle Grades

2001· article· en· W288156381 on OpenAlexvenueaboutno aff
Marlene Asselin

Bibliographic record

VenueSchool Libraries Worldwide · 2001
Typearticle
Languageen
FieldSocial Sciences
TopicLibrary Science and Information Literacy
Canadian institutionsnot available
Fundersnot available
KeywordsInformation literacySchool libraryMathematics educationPsychologyVariety (cybernetics)LiteracyPedagogyCritical thinkingMedical educationLibrary scienceComputer scienceMedicine

Abstract

fetched live from OpenAlex

This study examined the extent of information literacy instruction in grades 6 and 7 and the degree to which a variety of supportive factors are in place in classrooms and school library programs in one western Canadian province. Based on responses to questionnaires from teachers and teacher-librarians, four trends emerged: (a) the existence of broad-level support in schools including a constructivist teaching and learning environment, principals' support of information literacy, and teachers' knowledge of information literacy; (b) the need for school- and district-level frameworks of information literacy; (c) the need for increased attention to teaching ethical and critical thinking aspects of information literacy; and (d) challenges to increasing the potential role of the school library program. Implications for teacher-librarians as school leaders of the "new literacies" required to participate in the Information Age are presented.

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)0.001
metaresearch head score (Gemma)0.006
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.557
Threshold uncertainty score0.891

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0050.005
Science and technology studies0.0010.001
Scholarly communication0.0020.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.022
GPT teacher head0.275
Teacher spread0.253 · 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 designObservational
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

Citations24
Published2001
Admission routes2
Has abstractyes

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