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Record W2901832965

International Education in Manitoba: Exploring Leadership Practices in Policy Contexts

2018· article· en· W2901832965 on OpenAlexaffvenueabout
Merli Tamtik

Bibliographic record

VenueCanadian Journal of Educational Administration and Policy · 2018
Typearticle
Languageen
FieldSocial Sciences
TopicGlobal Education and Multiculturalism
Canadian institutionsUniversity of Manitoba
Fundersnot available
KeywordsPublic relationsContext (archaeology)Power structureEducational leadershipStakeholderPolicy analysisSociologyPolitical sciencePublic administrationPoliticsPedagogy
DOInot available

Abstract

fetched live from OpenAlex

International education has become an increasingly important, yet complex policy sector in Canada. With shared responsibilities and competing interests across governments and educational institutions, the need for policy coordination emerges. This study focuses on the province of Manitoba and its policy coordination practices across K-12 educational stakeholders. Drawing on the concept of distributed leadership, a framework is proposed to examine policy processes focusing on the dynamics of 1) actors - leaders versus followers and their context-specific situations; 2) process - examining collaboration and cooperation through interdependence of activities; and 3) outcomes understood as evidence of policy change or organizational change leading to improved learning experiences of students. Data for this study was collected through a qualitative case study approach applying document analysis and semi-structured interview techniques. Findings suggest that leadership practices go beyond single institutional structure, having increasingly a shared nature involving school administrators, governments and membership organizations. Characteristics such as shared stakeholder interests, formal power position and interdependence of resources play an important role in fostering the distributive leadership practices in policy contexts.

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)0.004
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 score0.093
Threshold uncertainty score0.672

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.006
Science and technology studies0.0210.007
Scholarly communication0.0060.001
Open science0.0020.004
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0030.000

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 head0.218
GPT teacher head0.448
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 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

Citations4
Published2018
Admission routes3
Has abstractyes

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