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Record W2140353684 · doi:10.1177/1049732314551988

From Shame to Shame Resilience

2014· article· en· W2140353684 on OpenAlexaffabout
Helena Dayal, Kathryn Weaver, José F. Domene

Bibliographic record

VenueQualitative Health Research · 2014
Typearticle
Languageen
FieldPsychology
TopicPsychotherapy Techniques and Applications
Canadian institutionsUniversity of New BrunswickUniversity of Alberta
Fundersnot available
KeywordsShamePsychologyDialecticSocial psychologyNarrativeDisconnectionPsychological resiliencePsychotherapistPolitical scienceEpistemologyLaw

Abstract

fetched live from OpenAlex

Using narrative analysis, the experiences of 7 Canadian counselor trainees with eating issues were explored for meanings of shame and resilience. Shame was experienced as layers of discounting and disconnection from self and others, which served as barriers to help seeking and recovery. Trainees' attempts to overcome shame were characterized by a dialectic conflict of protecting shame vs. prioritizing recovery. Finding a culture of safety and belonging, invalidating perfection, and redefining ideals emerged as elements that fostered resilience from the layers of shame. Recommendations for future research include exploring the important features of social support and examining how safe disclosure contributes to overcoming shame. Potential implications for counselor education programs include introducing self-care initiatives, discussions about counselor wellness and ethical practice, and education on eating issues.

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)0.008
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.657
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0080.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.004

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 head0.519
GPT teacher head0.697
Teacher spread0.178 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
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

Citations22
Published2014
Admission routes2
Has abstractyes

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