MétaCan
Menu
Back to cohort
Record W3015312321 · doi:10.22329/csw.v10i1.5800

Exploring the Effects of Early Life Sexual Abuse in Later Life among Catholic Nuns

2019· article· en· W3015312321 on OpenAlexvenueno aff
Gary Behrman

Bibliographic record

VenueCritical Social Work · 2019
Typearticle
Languageen
FieldPsychology
TopicGrief, Bereavement, and Mental Health
Canadian institutionsnot available
Fundersnot available
KeywordsSexual abuseSpiritualityPsychologySexual lifeClinical psychologyReligious lifePsychiatryMedicineSuicide preventionPoison controlGynecologyAlternative medicineMedical emergency

Abstract

fetched live from OpenAlex

This paper explores the variety of associated responses in later life to early life sexual abuse reported by aging Roman Catholic nuns (heretofore referred to as women religious). Specific attention is given to current effects and the strengths and resources these participants identify when integrating their personal histories of sexual abuse. The influences of their personal spirituality and institutional religious life are explicitly explored as factors in addressing the negative effects upon them in later life, which research participants associated with their sexual abuse. Research on sexual abuse and its effects is extensive, due to a growing awareness and concern about the prevalence of sexual abuse against children and sexual violence against women (Koss et al., 1994). However, investigating sexual abuse rates and its effects among aging populations and specifically Roman Catholic women religious is severely limited. In response to this limitation, Saint Louis University’s School of Medicine conducted a study to advance knowledge about “the consequences of sexual trauma among Catholic nuns in the United States and to compare the child sexual abuse experiences of Sisters with these figures for lay women” (Chibnall, Wolf, Duckro, 1998, p. 4). Twelve participants were recruited from this original study who were sexually abused before the age of 18 and are 65+ years of age.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.258
Threshold uncertainty score0.573

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.058
GPT teacher head0.346
Teacher spread0.288 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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
Published2019
Admission routes1
Has abstractyes

Explore more

Same venueCritical Social WorkSame topicGrief, Bereavement, and Mental HealthFrench-language works237,207