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Record W3199897896

Administrators' Instructional Leadership Perspective of the Role of Instructional Coaches and Teacher Librarians: A Comparative Examination

2019· article· en· W3199897896 on OpenAlexvenueno aff
Melanie Lewis

Bibliographic record

VenueSchool Libraries Worldwide · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicTeacher Education and Leadership Studies
Canadian institutionsnot available
Fundersnot available
KeywordsInstructional leadershipContext (archaeology)Perspective (graphical)PedagogyInstructional designLanguage artsPsychologyFaculty developmentLiteracyTeacher leadershipProfessional developmentEducational leadershipMathematics educationComputer science
DOInot available

Abstract

fetched live from OpenAlex

The purpose of this collective case study was to develop an understanding of why California K–12 public school administrators distribute instructional leadership responsibilities to either instructional coaches or teacher librarians and how the two roles compare within the context of the implementation of the California Common Core State Standards in English Language Arts (ELA/Literacy). Results demonstrated that administrators’ personal values influence their decisions to select and utilize instructional coaches or teacher librarians to provide instructional leadership. Instructional coaches are considered to be extensions of administrators as instructional leaders in ELA while teacher librarians are considered resources who may be called upon to provide occasional instructional support in ELA.

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)0.013
metaresearch head score (Gemma)0.023
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.016
Threshold uncertainty score0.067

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0130.023
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.003
Science and technology studies0.0130.007
Scholarly communication0.0070.005
Open science0.0020.003
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0040.000

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 head0.083
GPT teacher head0.314
Teacher spread0.230 · 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

Citations2
Published2019
Admission routes1
Has abstractyes

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