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Record W2991804199

Application of Emotion-Focused Therapy in Bereavement: A Case Study/APPLICATION DE LA THERAPIE CONCENTREE SUR L'EMOTION DANS LE DEUIL: ETUDE D'UN CAS

2006· article· fr· W2991804199 on OpenAlexvenueno aff
Jianxiu Gao

Bibliographic record

VenueCanadian social science · 2006
Typearticle
Languagefr
FieldPsychology
TopicGrief, Bereavement, and Mental Health
Canadian institutionsnot available
Fundersnot available
KeywordsSadnessSpousePsychologyLonelinessPsychotherapistSorrowHumanitiesSocial psychologyAngerSociologyArt
DOInot available

Abstract

fetched live from OpenAlex

Abstract: This paper presents a single case study of a woman who losing family members. Emotion-Focused Therapy provides an effective treatment methodology and technique for working through this situation. Emotion-Focused Therapy impact grief work proceeds through management of affect, assimilation and acceptance of the implication of the losses, resolving related issues, restructuring and development of coping capacities, establishment of new life goals and styles. Key words: Emotion-focused therapy, Bereavement, Losing Resume: Cet essai presente une etude d'un cas d'une femme qui a perdu les membres de sa famille. La therapie concentree sur l'emotion offre une methodologie et technique de traitement effective. L'impact de cette approche therapeutique sur la douleur se produit par le biais de la gestion des emotions, l'assimilation et acceptation de l'implication des pertes, la resolution des problemes concernes, la restructuration et le developpement des capacites de se debrouiller, l'etablissement des objectifs et styles de la vie. Mots-Cles: therapie concentree sur l'emotion, deuil, perte 1. INTRODUCTION Facing the losing a spouse at a young or middle age, it is one of the most difficult human experiences. Spousal relationship is a very intimate relationship. The death of spouse certainly gives rise to suffering of the survivor. According to the Holmes and Rahe's (1967) Social Readjustment Rating Scale (SRRS), death of spouse ranks the highest. Everyone expresses sadness and loss in different ways. There are some common characteristics, however, that occur when one is experiencing great loss. Sadness, crying, sorrow, anxiety, loneliness, helplessness, fatigue, guilt, shock, and anger are common emotions when dealing with death. These strong emotional and physical symptoms of grief may not occur for all people who experience a loss. These symptoms may last as short as a week after the death or may last months or years. What types of interventions are most effective in helping people deal with grief? This paper presents the work of the author using the Emotion-focused with the middle age widow in the practice in Shanghai. 2. GENERAL CHARACTERISTICS OF THE CASE Li Mei, is a 47-year-old woman, who continuously experienced traumatic and stressful events in her life. Her husband and three close relatives died in the past one year and she herself, a disabled person suffered also from breast cancer and had undergone mastectomy. Ms Li had received junior middle school (primary) education and was a factory worker. When she was 25 years old because of marrow inflammation, her right leg was amputated. Ms Li married Mr. Sun in 1984, and the marital relationship was harmonious. They had a son. But her husband was diagnosed as suffering from terminal intestines cancer in 2001, and he died in 2003. Though Ms Li is disabled person, she took care of her husband during her husband stayed in hospital. Due to she was over tired and suffered stressful events she was diagnosed with breast cancer and suffered from mastectomy. Ms Li had also experienced the loss of her parents and father-in-law during the three months. She lost someone important to her and feeling intense pain. There are a number of studies point to the impact of grief and negative emotion on immune system. Grief exacerbates not only physical morbidity but psychiatric morbidity as well. The death of the loved and the illness lead to painful emotions, such as anxiety, depression, despair self-pity, and helplessness. It can also lead to physical illnesses. Ms Li reported that she often was feeling of worried, loneliness and bad sleep. She cannot do something. She reports that she often has thoughts that her life has been a failure. In the initial CSE-D assessment, the score was 33. It is a high score and it shows that she was very depressed. 3. GENERAL CHARACTERISTICS OF THE INTERVENTION APPROACH Bereavement is an emotional laden process. …

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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)0.001
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Case report · Consensus signal: Case report
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.007
Threshold uncertainty score0.016

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0070.003
Scholarly communication0.0020.001
Open science0.0010.002
Research integrity0.0030.003
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 head0.018
GPT teacher head0.321
Teacher spread0.303 · 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 designCase report
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
Published2006
Admission routes1
Has abstractyes

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