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Record W2339448174 · doi:10.1080/14703297.2016.1174143

PhD student emotional exhaustion: the role of supportive supervision and self-presentation behaviours

2016· article· en· W2339448174 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueInnovations in Education and Teaching International · 2016
Typearticle
Languageen
FieldHealth Professions
TopicDoctoral Education Challenges and Solutions
Canadian institutionsUniversity of AlbertaAthabasca University
Fundersnot available
KeywordsPsychologyEmotional exhaustionPresentation (obstetrics)ConformitySupervisorImpression managementSocial psychologyPerceptionBurnoutClinical psychology

Abstract

fetched live from OpenAlex

This research examines doctoral student perceptions of emotional exhaustion relative to supportive supervision and the use of impression management (IM) and facades of conformity (FOC). Results indicated that supportive supervision significantly reduced emotional exhaustion and the use of self-presentation behaviours, while the use of FOC increased emotional exhaustion. Qualitative data additionally indicate that doctoral students use FOC due to differing values and academic goals, as well as to the desire to finish their programme. IM is used in order to finish the degree, to avoid confrontation and out of respect for a supervisor’s role and experience. In sum, results indicate that supportive supervision and the ability for doctoral students to ‘be themselves’ should reduce doctoral student emotional exhaustion and self-presentation behaviours, thus leading to better student outcomes.

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.

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 score0.422
Threshold uncertainty score0.508

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.085
GPT teacher head0.511
Teacher spread0.427 · 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