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Record W2999352220

Secondary Principals' Perspectives on the Impact of Work Intensification on the Secondary Vice-Principal Role

2019· article· en· W2999352220 on OpenAlexaboutno aff
Louis W. Lim, Katina Pollock

Bibliographic record

VenueScholarship@Western (Western University) · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicTeacher Education and Leadership Studies
Canadian institutionsnot available
Fundersnot available
KeywordsWork (physics)Principal (computer security)Public relationsPolitical scienceEngineeringComputer science
DOInot available

Abstract

fetched live from OpenAlex

Principals’ work intensification has increased the volume and complexity of their daily tasks. This exploratory study was conducted to determine how secondary principals’ work intensification has influenced their understanding of the secondary vice-principal role. Thirteen secondary principals from Ontario, Canada participated in one-time semi-structured interviews for this qualitative study. Findings indicate that secondary principals expect their vice-principals to perform both operational and instructional tasks, although the work completed by secondary vice-principals remains predominantly school operations. Duties are determined collaboratively as a school administrative team. Three tensions emerged regarding how secondary principals perceive the secondary vice-principal role: They believe their vice-principals (i) experience role conflict and role ambiguity, (ii) have difficulty prioritising operational and instructional duties, and (iii) have difficulty achieving work–life balance. Recommendations to professional practice, educational policy, and research in educational leadership are included.

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)0.005
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 score0.073
Threshold uncertainty score0.145

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0080.005
Scholarly communication0.0040.001
Open science0.0000.002
Research integrity0.0000.001
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 head0.164
GPT teacher head0.380
Teacher spread0.216 · 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

Citations8
Published2019
Admission routes1
Has abstractyes

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