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Record W2194050285

An Opportunity for Positive Change and Growth: Music Therapists' Experiences of Burnout/Une Occasion De Changement Positif et De Développement Personnel : L'expérience De L'épuisement Professionnel Chez Les Musicothérapeutes

2014· article· fr· W2194050285 on OpenAlexaboutno aff
Kiki Chang

Bibliographic record

VenueCanadian journal of music therapy · 2014
Typearticle
Languagefr
FieldPsychology
TopicMusic Therapy and Health
Canadian institutionsnot available
Fundersnot available
KeywordsBurnoutDepersonalizationFeelingEmotional exhaustionPsychologyHuman servicesSocial psychologyNursingMedicineClinical psychologyPolitical science
DOInot available

Abstract

fetched live from OpenAlex

As music therapists, we are musicians, artists, and healers. This multifaceted identity allows us to interact with clients in many ways. Our role is to enhance their well-being using the medium of music. We are there to listen, support, and aid with their personal processes. This means we are exposed to clients' lives on daily basis. They reveal their thoughts, feelings, and experiences to us, and in turn we share parts of ourselves with them. The very nature of our work makes us vulnerable, both emotionally and professionally, and there are times when we carry our clients' emotions with us after strongly identifying with their experiences.As profession, we experience vulnerability in terms of work creation and working style. Many music therapists hold contract positions, and it can be difficult to find full-time work. Furthermore, since music therapy is relatively young profession in Canada, health care administrators often misunderstand it, and there is constant need to explain our roles within the health care system. These stressors, among others, may bring about phenomenon known as burnout (Clements-Cortes, 2006). Like other professionals working in human services fields, music therapists are not immune to experiencing this phenomenon. It is likely that many of us may experience burnout at some point in our careers, as the prevalence of burnout among health care professionals around the world is increasing (Schaufeli, Leiter, & Maslach, 2008).Literature ReviewBurnoutFreudenberger (1974) and Maslach (1976) were among the first to use the term burnout. Burnout can be defined as syndrome of emotional exhaustion, depersonalization, and reduced personal accomplishment that can occur among individuals who work with humans in some capacity (Maslach, Jackson, & Leiter, 1996). Emotional exhaustion is the main symptom of burnout and the easiest to recognize. It can be described as an inability to care. Depersonalization is the therapist's lack of sensitivity towards clients. It is an attempt to distance oneself from clients, as clients' demands are more manageable when clients are seen as impersonal objects. A combination of depersonalization and exhaustion decreases one's ability to be effective, leading to feelings of reduced personal accomplishment. When this develops further, it can manifest into negative thoughts about oneself, as it can be challenge to feel sense of accomplishment when emotionally exhausted or indifferent towards clients (Lamont, 2004; Maslach, Schaufeli, & Leiter, 2001). Burnout among health care professionals is most often measured using the Maslach Burnout Inventory (MBI), which measures respondents' scores on the three dimensions/subscales (emotional exhaustion, depersonalization, and personal accomplishment) of burnout. The MBI is 22-item, 7-point Likert-type scale (Kim, 2012). A high degree of burnout is indicated by high scores on the emotional exhaustion and depersonalization subscales and in low scores on the personal accomplishment subscale.Compassion FatigueCompassion fatigue can be defined as a state of tension and preoccupation with the traumatized patients by re-experiencing the traumatic events, avoidance/numbing of reminders, [and] persistent arousal (e.g., anxiety) associated with the patient (Figley, 2002, p. 1435). It is prevalent across all spectrums of the helping professions and is flourishing (Showalter, 2010, p. 239). Although some researchers (Austin et al., 2013; Joinson, 1992) have stated that compassion fatigue is type of burnout, others (Berzoff & Kita, 2010; Devilly, Wright, & Varker, 2009) have suggested that the two phenomena are different. Doman (2010) wrote that compassion fatigue is form of vicarious trauma only experienced by those in the helping professions but that burnout can affect people in any profession. Collins and Long (2003) proposed that burnout is result of accumulated stress associated with overwork, whereas compassion fatigue is caused by secondary traumatic experience. …

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)0.011
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 score0.019
Threshold uncertainty score0.037

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0070.011
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0190.017
Scholarly communication0.0140.006
Open science0.0020.012
Research integrity0.0050.009
Insufficient payload (model declined to judge)0.0030.001

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 head0.132
GPT teacher head0.365
Teacher spread0.232 · 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".

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Citations0
Published2014
Admission routes1
Has abstractyes

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