MétaCan
Menu
Back to cohort
Record W2790442371

Mapping Principal Preparation Programs in British Columbia, Canada

2017· article· tr· W2790442371 on OpenAlexaboutno aff
John Churchley, Victoria Handford, Patricia J. Neufeld, Diane Purvey

Bibliographic record

VenueDergiPark (Istanbul University) · 2017
Typearticle
Languagetr
FieldSocial Sciences
TopicTeacher Education and Leadership Studies
Canadian institutionsnot available
Fundersnot available
KeywordsPrincipal (computer security)Context (archaeology)Consistency (knowledge bases)Plan (archaeology)Political sciencePublic relationsLibrary sciencePedagogyPublic administrationSociologyGeographyComputer science
DOInot available

Abstract

fetched live from OpenAlex

This paper is part of a research project exploring the preparation of elementary and secondary public school principals in British Columbia, Canada. Similar projects from 13 countries form the International Study of Principal Preparation. This paper maps the formal and informal preparation programs for principals in the province. The context of public education in British Columbia and a conceptual framework for the preparation of educational leaders is presented to provide a research context. Evidence of lack of consistency or agreement across districts about what leadership is and how to develop leaders was apparent. The workshop and after school seminars is haphazard, and does not build sequentially to knowledge that is commonly held and known to be essential for successful leadership. British Columbia would be well advised to further streamline their principal preparation programs into a coherent, consistent plan with consistent, research-informed and practice-relevant outcomes.

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)0.005
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 score0.084
Threshold uncertainty score0.606

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0060.012
Science and technology studies0.0060.001
Scholarly communication0.0030.001
Open science0.0020.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.001

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 head0.092
GPT teacher head0.292
Teacher spread0.199 · 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

Citations1
Published2017
Admission routes1
Has abstractyes

Explore more

Same venueDergiPark (Istanbul University)Same topicTeacher Education and Leadership StudiesFrench-language works237,207