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Record W4312281695 · doi:10.33921/vaiy6153

The Role of Self-Silencing and Appearance Investment in Heterosexually Experienced Women’s Body Dissatisfaction

2022· article· en· W4312281695 on OpenAlexaffvenue
Tanja Samardżić, Josée L. Jarry, Charlene Y. Senn

Bibliographic record

VenueJournal of Interpersonal Relations Intergroup Relations and Identity · 2022
Typearticle
Languageen
FieldPsychology
TopicBody Image and Dysmorphia Studies
Canadian institutionsUniversity of WindsorUniversity of Guelph
Fundersnot available
KeywordsPsychologyContext (archaeology)Gene silencingSocializationPerceptionSocial psychologySelfDevelopmental psychology

Abstract

fetched live from OpenAlex

Traditional socialization can lead to negative individual and relational outcomes for women including self-silencing and body dissatisfaction. We explored the relationship between these phenomena, particularly whether problematic appearance investment was an explanatory mechanism for body dissatisfaction within a context of self-silencing. Women students (N=116) aged 18-24 completed online surveys. More engagement in all domains of self-silencing was associated with higher body dissatisfaction. Problematic appearance investment mediated three of the four domains (externalized self-perception, care as self-sacrifice, divided self) with the other, silencing the self, directly associated with body dissatisfaction. When young women engaged in more relational self-silencing, they focused on their appearance as more integral to their identity, which predicted higher body dissatisfaction. These findings, based on women without eating disorder diagnoses, demonstrate one specific danger of relational self-silencing for women’s well-being. Encouraging self-affirmation may be a promising strategy to undermine these effects for women who engage in self-silencing.

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)0.001
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 score0.148
Threshold uncertainty score0.414

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
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 head0.006
GPT teacher head0.275
Teacher spread0.269 · 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
Published2022
Admission routes2
Has abstractyes

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