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Record W4378652547 · doi:10.1080/17521882.2023.2216805

<i>Coaches Deserve the Care and Attention They Are Nurturing in Others:</i> exploring co-active life coaches’ perspectives on professional practise and self-care during the COVID-19 pandemic

2023· article· en· W4378652547 on OpenAlexaff
Kayla Waddington, Jennifer D. Irwin, Aislin R. Mushquash, Kathryn E. Sinden, Erin Pearson

Bibliographic record

VenueCoaching An International Journal of Theory Research and Practice · 2023
Typearticle
Languageen
FieldHealth Professions
TopicHealthcare professionals’ stress and burnout
Canadian institutionsWestern UniversityLakehead University
Fundersnot available
KeywordsCoachingPsychologyEmpathyBurnoutHealth careNursingMedical educationMedicineSocial psychologyPsychotherapistClinical psychology

Abstract

fetched live from OpenAlex

Helping professionals promote self-care amongst their clients: a proactive practise that enhances personal well-being. Yet, many struggle to engage in self-care personally which can lead to adverse health consequences and burnout. To date, little is known about helping professionals’ views on self-care as it relates to personal and professional practise: especially during a worldwide pandemic where the demand for health-oriented services is amplified. Certified Professional Co-Active Coaches (CPCCs) are poised to offer unique insights into this phenomenon given their inherent focus on enriching client well-being. The purpose of this descriptive study was to explore CPCCs’ experiences related to coaching practise and self-care during the COVID-19 pandemic. Semi-structured interviews were used, and data were analysed using an inductive approach. Twelve CPCCs (10 = female) participated. Four main themes emerged: a shift in practise; changes in clients; personal self-care practises; and professional self-care practises. Therapeutic empathy and setting emotional boundaries were identified as valuable coaching strategies. Participants also highlighted the need for intentional self-care routines to care effectively for themselves and others. Taken together, these findings may be transferable to other helping professionals, training bodies, and clients through an enhanced understanding of self-care during times of crises.

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)0.013
metaresearch head score (Gemma)0.017
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Science and technology studies, Research integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.458
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0130.017
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0030.000
Scholarly communication0.0000.002
Open science0.0010.000
Research integrity0.0000.004
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 head0.321
GPT teacher head0.546
Teacher spread0.225 · 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 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

Citations0
Published2023
Admission routes1
Has abstractyes

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