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Record W2892841915

High School Principals

2017· article· en· W2892841915 on OpenAlexaff
Jeff Turner

Bibliographic record

Venue2018 Conference of the Canadian Society for the Study of Education · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicTeacher Education and Leadership Studies
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsCraftTransformational leadershipEducational leadershipPedagogyTeacher leadershipInstructional leadershipSociologyPublic relationsPsychologyMathematics educationPolitical science
DOInot available

Abstract

fetched live from OpenAlex

In a time when high schools are being challenged with governmental initiatives of high school reinventing or redesign with goals focusing on engaged students, high levels of achievements and quality teaching, there is a greater need for high school principals to develop, support and sustain a community of adult learners focused on pedagogical practice. The focus of this mixed-methods study is to illustrate and illuminate leadership practices employed by high school principals that support and sustain such communities of learners with attention to pedagogical practice. Leadership at the high school level provide a unique challenge due to the size and complexity. The study examines how successful principals, in large high schools, confront the necessity to support teachers as the teachers grow their craft in thoughtful and deliberate ways framed within challenges of high school redesign. Using key dimensions from both instructional and transformational leadership models, findings are used to develop a conceptual framework that provide insight into effective leadership practices for high school principals, school leadership teams, schools of education, and provincial ministries, with respect to supporting and sustaining communities of learners who focus on continual improvements in teaching practice that have an impact on student learning.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.266
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0030.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.201
GPT teacher head0.400
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 teacher head, not a consensus.

Study designQualitative
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

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