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Record W2157457628 · doi:10.55016/ojs/ajer.v54i2.55219

First Conversations With Manitoba Superintendents: Talking Their Walk

2008· article· en· W2157457628 on OpenAlexvenueaboutno aff
Carolyn Crippen, Dawn Wallin

Bibliographic record

VenueAlberta Journal of Educational Research · 2008
Typearticle
Languageen
FieldSocial Sciences
TopicCanadian Identity and History
Canadian institutionsnot available
Fundersnot available
KeywordsPsychologyMathematics educationPedagogySociology

Abstract

fetched live from OpenAlex

Thirty-seven superintendents lead public school divisions in the Province of Manitoba; their role is to implement the policies set out by the Board of Trustees. In a period of rapid educational change and growth in Manitoba, superintendents are increasingly concerned with rural/urban issues; the fallout from recent school division amalgamations; and local/global educational perspectives. The leadership style demonstrated by superintendents is crucial to their ability to respond appropriately and adequately to growing issues of cultural, economic, social, and community influences. This article describes a study of Manitoba superintendents and their perspectives on their leadership style. Their narrative are analyzed through the lens of servant-leadership as defined by Robert K. Greenleaf and an inventory of 10 related characteristics: listening, empathy, healing, awareness, persuasion, foresight, conceptualization, stewardship, commitment to the growth of people, and building community. It appears that this small sample of superintendents regard awareness, foresight, conceptualization, commitment to the growth of others, and building community as priorities in their leadership modus operandi.

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)0.003
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: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.657
Threshold uncertainty score0.681

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.005
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0450.008
Scholarly communication0.0060.003
Open science0.0010.006
Research integrity0.0050.006
Insufficient payload (model declined to judge)0.0090.002

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 head0.075
GPT teacher head0.332
Teacher spread0.258 · 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 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

Citations12
Published2008
Admission routes2
Has abstractyes

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Same venueAlberta Journal of Educational ResearchSame topicCanadian Identity and HistoryFrench-language works237,207