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Record W4394850924 · doi:10.4236/psych.2024.154031

Testing Cross-Lagged Associations between Conditional Parental Regard and Impostorism among Students from Elementary to Secondary School

2024· article· en· W4394850924 on OpenAlexafffund
Thérèse Bouffard, Noémie Gratton, Andrée-Ann Labranche

Bibliographic record

VenuePsychology · 2024
Typearticle
Languageen
FieldPsychology
TopicPerfectionism, Procrastination, Anxiety Studies
Canadian institutionsInstitut du Savoir MontfortUniversité du Québec à Montréal
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsPsychologyDevelopmental psychologyTest (biology)Mathematics education

Abstract

fetched live from OpenAlex

The objective of this longitudinal study was to examine the direction of the relationship between the perception of parental conditional support and the feeling of imposture. 504 students (249 girls) aged 10-11 at the start of the study answered questionnaires on their perception of conditional parental support and their feeling of imposture over a period of five consecutive years. Using structural equation modeling, the results of cross-lagged analyzes with overlapping stability paths of each variable showed that the model where the perception of conditional support predicted the presence of the feeling of imposture the following year was the most parsimonious and the one that also best fit the data. There was no evidence for the reverse: impostorism never predicted changes in perception of conditional parental regard. The discussion focuses on the mechanisms likely involved in children internalization of parental expectations as standards that lead them to feel like an impostor. The negative impact of imposorism on the well-being and future of children increases the importance of making parents aware of the avoidance of practices leading their child to perceive that their love and acceptance are based on their accomplishments rather than on their personal qualities.

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 categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.036
Threshold uncertainty score1.000

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 studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.001

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 head0.036
GPT teacher head0.407
Teacher spread0.371 · 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.

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
Published2024
Admission routes2
Has abstractyes

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