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Record W2336106042 · doi:10.14288/1.0090149

Beyond survival : the experience of identity in the later stages of recovery from incest

2009· article· en· W2336106042 on OpenAlexaff
Alexandra Grace Phillips

Bibliographic record

VenuecIRcle (University of British Columbia) · 2009
Typearticle
Languageen
FieldPsychology
TopicGrief, Bereavement, and Mental Health
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsIdentity (music)CriminologyPsychologyComputer securitySocial psychologyComputer scienceArtAesthetics

Abstract

fetched live from OpenAlex

A qualitative, phenomenological methodology was used to explore and describe the experience of women's identity in the later stages of recovery from incest. Seven women between the ages of thirty and fifty seven years of age were interviewed about their experience of their sense of themselves in the later stages of their healing process. Colaizzi's (1978) methodological approach to phenomenological research was used to analyze the interview material and the following five themes emerged: an increasing sense of visibility and connection, an emerging sense of self definition and self acceptance, a shift in world view, a sense of regret over what has been lost, and a sense of resiliency and growth. These five themes were common to all of the women's experience of their identities in the later stages of recovery from incest. A follow up validation interview with each of the women served the purpose of confirming and clarifying the findings that were generated from the initial interview. These results expand our understanding of the experience of these seven women's sense of themselves at the later stages of their recovery from incest. Recommendations for future research and implications for counselling practice are provided.

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)0.005
metaresearch head score (Gemma)0.010
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 score0.009
Threshold uncertainty score0.028

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.010
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0090.013
Scholarly communication0.0050.004
Open science0.0010.006
Research integrity0.0010.004
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 head0.259
Teacher spread0.241 · 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

Citations1
Published2009
Admission routes1
Has abstractyes

Explore more

Same venuecIRcle (University of British Columbia)→Same topicGrief, Bereavement, and Mental Health→French-language works237,207→