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School Leadership Challenges in Canada

2020· reference-entry· en· W3015527464 on OpenAlexaboutno aff
Jing Jian Xiao, Paul Newton

Bibliographic record

VenueOxford Research Encyclopedia of Education · 2020
Typereference-entry
Languageen
FieldPsychology
TopicEducational and Psychological Assessments
Canadian institutionsnot available
Fundersnot available
KeywordsAccountabilityContext (archaeology)IndigenousPolitical scienceDiversity (politics)Scale (ratio)ImmigrationDemographicsPublic relationsSociologyGeography

Abstract

fetched live from OpenAlex

Abstract Educational leadership as a concept refers to leadership across multiple levels and forms of educational institutions. The challenges facing school leaders in Canada center on the changing demographics of communities and school populations, shifts in Canadian society, and workload intensification related to factors such as increasing accountability regimes and changing expectations of schools. Although education in Canada is largely a matter of provincial jurisdiction, there are some similarities with respect to the challenges facing institutions across Canada. While regional differences occur, general trends in challenges can be observed throughout Canada. There are challenges related to the changing demographics and social context that include increases in immigrant and refugee populations, the growing numbers of Indigenous students and the implications of truth and reconciliation for settler and indigenous communities, the increased awareness of gender and sexual identity, and linguistic and religious diversity. There are also challenges related to the shifting policy context and public discourse with respect to the expectations of public schooling. These challenges include the necessity for schools to respond to the mental health and well-being of students and staff, the increasing pressures with respect to accountability and large-scale assessments, and the demands of parents and community members of schools and school leaders. The changing roles and responsibilities of school leaders have resulted in workload intensification and implications for leader recruitment and retention.

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)0.004
metaresearch head score (Gemma)0.010
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.853
Threshold uncertainty score0.990

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.010
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.005
Science and technology studies0.0350.005
Scholarly communication0.0120.002
Open science0.0030.005
Research integrity0.0020.005
Insufficient payload (model declined to judge)0.0210.002

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 head0.359
GPT teacher head0.452
Teacher spread0.093 · 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 designNot applicable
Domainnot available
GenreOther

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

Citations3
Published2020
Admission routes1
Has abstractyes

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