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Record W4206026866 · doi:10.5539/hes.v12n1p84

An Evaluation of Arrogance Orientations of Academicians in Higher Education According to Student and Alumni Opinions

2022· article· en· W4206026866 on OpenAlexvenueno aff
Mesut DEMİRBİLEK, Sıtar Keser, Tuba Akpolat

Bibliographic record

VenueHigher Education Studies · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicEducation and Islamic Studies
Canadian institutionsnot available
Fundersnot available
KeywordsContemptHigher educationContext (archaeology)PsychologyQualitative researchPhenomenology (philosophy)PedagogySocial psychologyFocus groupPublic relationsOrganisation climateSociologyMedical educationSocial sciencePolitical scienceLawEpistemology

Abstract

fetched live from OpenAlex

Arrogant individuals are individuals who tend to position themselves in the center, both in their daily lives and in organizational life, and their relationships with others. While they exaggerate their importance, they tend to take over success in any case. Arrogance, which has the potential to adversely affect the organizational climate, can turn into an obstacle to the state of collective engagement and have a devastating effect on the science discipline, for example, in the academic community. In this context, this study aims to examine the arrogance orientations of academicians working in universities, which are higher education organizations. For this purpose, phenomenology, which is a qualitative research design, was used, and thirteen participants consisting of undergraduate and graduate students and graduates were reached with the maximum variation sampling method. The data obtained through focus group interviews using semi-structured questions were analyzed in terms of content using the Maxquda qualitative data analysis program. Findings obtained as a result of the analyses reveal that the arrogance orientations of academicians were gathered under the dimensions of individuality, comparison, contempt, and discrediting. Based on these results, it is possible to indicate that it affects the academic organization climate negatively and feeds on individuality. In this context, it can contribute to reducing the potentially destructive effects of arrogance by encouraging collective work in academic organizations.

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)0.000
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 score0.231
Threshold uncertainty score0.484

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
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 head0.195
GPT teacher head0.527
Teacher spread0.331 · 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

Citations7
Published2022
Admission routes1
Has abstractyes

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