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Record W2910070975 · doi:10.11575/prism/32350

Inspiring Change: A Hermeneutic Phenomenology Exploring the Lived Experience with Emotional Labor by Female Health Champions Implementing Comprehensive School Health Reforms

2018· dissertation· en· W2910070975 on OpenAlexaboutno aff
Astrid Kendrick

Bibliographic record

VenuePRISM (University of Calgary) · 2018
Typedissertation
Languageen
FieldSocial Sciences
TopicEmotional Labor in Professions
Canadian institutionsnot available
Fundersnot available
KeywordsPhenomenology (philosophy)Hermeneutic phenomenologyLived experiencePsychologySociologyPedagogyNursingGender studiesMedicinePsychotherapistEpistemologyPhilosophy

Abstract

fetched live from OpenAlex

This hermeneutic phenomenological study explored the lived experience with emotional labor of five female Health Champions as they navigated through flux and systemic instability while implementing Comprehensive School Health initiatives. Framed by complex adaptive systems theory, the purpose of this study was to discover the immediate emotional and embodied experiences identified by five change agents having horizontal differentiation of roles including: pre-service student teacher, educational assistant, teacher, school leader, and system leader while undertaking educational reforms introduced between 2009 and 2016 in Alberta, Canada. This study uncovered insights into their common understanding the phenomenon of emotional labor while implementing the Comprehensive School Health framework, a reform to Physical and Health Education that coincided with the Inspiring Education movement. The findings of this study include: insight into the unique nature of the emotional work of change agents in educational settings; a phenomenological example of a possible lived experience with emotional labor; and suggestions for areas of future study for educational leaders interested in implementing Comprehensive School Health initiatives.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.007
metaresearch head score (Gemma)0.008
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.014
Threshold uncertainty score0.042

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0070.008
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0140.028
Scholarly communication0.0070.006
Open science0.0020.008
Research integrity0.0020.005
Insufficient payload (model declined to judge)0.0020.000

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 head0.088
GPT teacher head0.342
Teacher spread0.254 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
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

Citations4
Published2018
Admission routes1
Has abstractyes

Explore more

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