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Record W7161810196 · doi:10.82308/5017

An evaluation of teachers' emotional labour

2018· dissertation· en· W7161810196 on OpenAlexaboutno aff
Hui Wang

Bibliographic record

Venuenot available
Typedissertation
Languageen
FieldSocial Sciences
TopicEmotional Labor in Professions
Canadian institutionsnot available
Fundersnot available
KeywordsEmotional laborBurnoutPerspective (graphical)Congruence (geometry)Empirical researchEmotional exhaustionValue (mathematics)Structural equation modeling

Abstract

fetched live from OpenAlex

In real-world classroom settings, teachers regulate their emotions on a daily basis contributing to a persistent disconnect between the emotions teachers actually experience and those they choose to express. Accordingly, teachers routinely hide or fake discrete positive and negative emotions in the classroom, with this "emotional labour" being associated with not only lower teacher motivation and poorer physical health, but also higher rates of burnout and attrition. The current dissertation represents a composite of three separate manuscripts including both a systematic review as well as large-scale empirical study with 1,086 teachers from across Canada conducted in collaboration with 22 teachers' associations and unions across seven provinces and territories. The first manuscript employed a systematic review and meta-analysis synthesizing the results of previous research concerning teachers' emotional labour, their antecedents, and influences on teachers' psychological, physiological, and behavioural outcomes. The second manuscript utilized advanced structural equation modeling with latent interactions to demonstrate empirical support for hypothesized effects of teachers' personal values, perceived school values, and value congruence on teachers' emotional labour behaviours and psychological adjustment. Finally, the third manuscript provided an intensive methodological perspective concerning the measurement of teachers' emotional labour by way of competitive latent models and a multitrait-multimethod analysis of a newly developed self-report measure of teachers' emotional labour with respect to various discrete emotional experiences. Study findings observed concerning the structure as well as antecedents, correlates, consequences of teachers' emotional labour across these dissertation studies make significant contributions towards better understanding of teachers' motivation, emotions, and emotion expression in the teaching context, and may serve to inform teacher development initiatives by underscoring the critical, multifaceted role of emotional labour for teachers, administrators, and students.

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)0.004
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.595
Threshold uncertainty score0.992

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0200.000

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 head0.057
GPT teacher head0.452
Teacher spread0.395 · 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.

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
Published2018
Admission routes1
Has abstractyes

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Same topicEmotional Labor in ProfessionsFrench-language works237,207