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Record W4410172567 · doi:10.3390/educsci15050579

Familycentric School Leadership in Inner-City Schools in Saskatchewan

2025· article· en· W4410172567 on OpenAlexaffabout
Mickey Jutras

Bibliographic record

VenueEducation Sciences · 2025
Typearticle
Languageen
FieldSocial Sciences
TopicParental Involvement in Education
Canadian institutionsSt. Francis Xavier University
Fundersnot available
KeywordsMathematics educationInner cityInstructional leadershipEducational leadershipSociologyPedagogyPolitical sciencePsychologyRegional science

Abstract

fetched live from OpenAlex

This article presents the findings of a study that examined school-based leadership in a Saskatchewan inner-city elementary school with a high Indigenous student population. In this qualitative study, the researcher utilized the conversational method. Indigenous community members and school staff were invited to share their perspectives on school leadership and the role school-based leaders play in improving the experiences of Indigenous students and families. The findings revealed that multiple barriers hinder family engagement. However, school-based leaders can take specific actions to help overcome these barriers. Promising leadership actions include maintaining a clear focus, leading by example, dedicating time for home visits, challenging biases, developing a broader school leadership team, and being invitational. The paper concludes that school-based leaders’ actions can shift inner-city schools to be more familycentric.

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation 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 score0.502
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.005
Science and technology studies0.0000.000
Scholarly communication0.0000.001
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 head0.187
GPT teacher head0.413
Teacher spread0.227 · 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.

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

Citations0
Published2025
Admission routes2
Has abstractyes

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