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Record W4403572316 · doi:10.61186/johepal.5.3.134

The Losses of Leadership? Masks, Mirrors and Meaning when Leading in Higher Education

2024· article· en· W4403572316 on OpenAlexaboutno aff
Jamie S. Quinton, Tara Brabazon

Bibliographic record

VenueJournal of Higher Education Policy And Leadership Studies · 2024
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicManagement and Organizational Studies
Canadian institutionsnot available
FundersMassey UniversityFlinders UniversityTimes Higher Education
KeywordsMeaning (existential)PsychologySociologyAestheticsArt

Abstract

fetched live from OpenAlex

Leadership -as a noun, trope, imperative, directive and proxy -is used repetitively in higher education.It is an empty signifier.While noting this lack of definitional clarity, leadership roles in universities remain competitive and coveted.Titles, salaries and profile follow.Within universities, the attributes of successful leaders are rarely studied.Instead, Goffmanesque frontstages are assembled that construct a seamless story of promotion and achievement.This positional power subverts accountability, transparency and scrutiny.These frontstages mask, minimize and decentre failures, inconsistencies and detours that deflect from a crisp narrative of success.There are also losses in and from leadership.This theoretical article deploys distinctive and provocative literature from outside of the United States, United Kingdom, and Canada.Activating the leadership research from Aotearoa / New Zealand, the Philippines, China, Iran, and Saudi Arabia, this article investigates the consequences of marginalizing academic success in teaching and research as a requirement for leadership roles and positions.This article shows that communication skills are more significant in creating organizational success than neoliberal-framed financial 'management.'With little attention to followership or failures, what is lost from leadership?

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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.889
Threshold uncertainty score0.472

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
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 head0.216
GPT teacher head0.355
Teacher spread0.139 · 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
Published2024
Admission routes1
Has abstractyes

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