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Record W2947722958 · doi:10.5539/ies.v12n6p120

The Reality of Administrative Empowerment among the Recently Employed Administrators in the Intermediate Schools

2019· article· en· W2947722958 on OpenAlexvenueno aff
Mona A. Alfadli, Sarah M. Al-Mehaisen

Bibliographic record

VenueInternational Education Studies · 2019
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicOrganizational Leadership and Management Strategies
Canadian institutionsnot available
Fundersnot available
KeywordsEmpowermentTeamworkDelegationIncentivePsychologyPublic relationsMedical educationPolitical scienceMedicine

Abstract

fetched live from OpenAlex

The current study aims at identifying the reality of administrative empowerment among administrators recently employed in the intermediate schools of Riyadh Al-Khabra city, Saudi Arabia, from their perspective. The descriptive survey and comparative approach were applied to (89) administrators recently employed in the intermediate schools of Riyadh Al-Khabra. A five-domain questionnaire was developed to measure the dimensions of empowerment, including delegation of authority, self-motivation, teamwork, personal development and effective communication. The study resulted in a medium level of administrative empowerment among the recently employed administrators in the intermediate schools of Riyadh Al-Khabra. Authority delegation ranked the first, followed by teamwork, effective communication, self-motivation and personal development, respectively. Academic qualification had an ineffective impact on the administrative empowerment of the recently employed administrators. The study recommended supporting the application of the concept of empowerment through disseminating the culture of empowerment in the educational field, diagnosing the relevant organizational constraints, boosting confidence, improving communication among administrators, encouraging teamwork, affording communication channels between administrators and the respective educators and reconsidering the incentive system, administrators’ titles and job description based on academic qualification.

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)0.001
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.441
Threshold uncertainty score0.294

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
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 head0.075
GPT teacher head0.367
Teacher spread0.292 · 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

Citations8
Published2019
Admission routes1
Has abstractyes

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