MétaCan
Menu
Back to cohort
Record W7098215936

Leadership Tensions and Dilemmas Leadership Tensions and Dilemmas

2016· article· en· W7098215936 on OpenAlexaboutno aff

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldPhysics and Astronomy
TopicTheoretical and Computational Physics
Canadian institutionsnot available
Fundersnot available
KeywordsPrincipal (computer security)Quality (philosophy)Action (physics)Educational leadershipFace (sociological concept)Set (abstract data type)DilemmaWork (physics)
DOInot available

Abstract

fetched live from OpenAlex

ABSTRACT: Results from the Tasmanian Successful School Principal Project (SSPP) survey concur with the four major leadership tensions and dilemmas identified in a background literature review. These tensions and dilemmas relate to internal/external control, ethic of care/responsibility, and an emphasis on professional/personal as well as leadership/management. The results also offer new insights. These insights include differences in the effects of the tensions and dilemmas based on principal qualifications, experience and gender, school size, socio-economic status (SES) and organisational capacity, and student social and literacy/numeracy success adjusted for school SES. A recent review of research concerning quality teaching and quality leading in Australian schools has highlighted a need to look at ways in which successful school leaders manage dilemmas and tensions that arise in schools (Zammit et al., 2007, p. 27). This article aims to review some representative literature in the area and provide results from the Tasmanian Successful School Principals Project (SSPP) project, which includes a set of survey items relating to leadership tensions and dilemmas. Background Literature Research studies from three countries, UK, Canada and Australia, focussed on dilemmas faced by school principals. In the UK, Day et al. (2001) saw dilemmas for principals choosing between courses of action which are to a greater or lesser extent mutually exclusive. Two of the dilemmas identified were development or dismissal, that is what to do

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.143
Threshold uncertainty score0.566

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.085
GPT teacher head0.247
Teacher spread0.162 · 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 designTheoretical or conceptual
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
Published2016
Admission routes1
Has abstractyes

Explore more

Same topicTheoretical and Computational PhysicsFrench-language works237,207