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Record W4393273963 · doi:10.3389/fpsyg.2024.1360540

Interventions addressing the impostor phenomenon: a scoping review

2024· review· en· W4393273963 on OpenAlexafffund
Emma Para, Philippe Dubreuil, Paule Miquelon, Charles Martin‐Krumm

Bibliographic record

VenueFrontiers in Psychology · 2024
Typereview
Languageen
FieldPsychology
TopicPerfectionism, Procrastination, Anxiety Studies
Canadian institutionsUniversité du Québec à Trois-Rivières
FundersUniversité du Québec à Trois-Rivières
KeywordsPsychological interventionPsychologyPsychosocialContext (archaeology)Intervention (counseling)Applied psychologyFeelingClinical psychologySocial psychologyPsychotherapistPsychiatry

Abstract

fetched live from OpenAlex

Introduction: The Impostor Phenomenon (IP) refers to a psychological experience characterized by unjustified feelings of intellectual and professional fraud, accompanied by the fear of not maintaining performance and of being exposed. IP is receiving increasing attention in the fields of psychological health at work and occupational psychology as well as among the general public, since it affects the functioning of both individuals and organizations. The aim of this scoping review is to map the range of interventions that have been conducted to address IP among individuals experiencing it in a professional context. Methods: The search and selection process to identify relevant reports was conducted using the PRISMA-ScR methodology and JBI recommendations and resulted in the selection of 31 studies. Results: The results reported concerning the characteristics of the studies, the interventions described, and the effects identified are heterogeneous. More than half of the studies used research designs (experimental, pre-experimental, exploratory, etc.). Two major types of intervention emerge: training and counseling. The effectiveness of the interventions varies according to the evaluation methodology that was used, although most authors conclude that the proposed intervention is relevant. Discussion: In light of these results, recognizing and educating individuals regarding the various manifestations of IP, as well as offering support in a group context, appear to be primary intervention levers. Future intervention proposals should explore psychosocial and educational influences as well as the impact of the immediate environment on IP-related beliefs.

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)0.002
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: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.583
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0010.002
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.002
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 head0.213
GPT teacher head0.511
Teacher spread0.299 · 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 designNot applicable
Domainnot available
GenreReview

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

Citations25
Published2024
Admission routes2
Has abstractyes

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