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Record W4389392908 · doi:10.1515/ijnes-2022-0058

Understanding the impostor phenomenon in graduate nursing students

2023· article· en· W4389392908 on OpenAlexaff
Judith M. Scanlan, Francine Laurencelle, James Plohman

Bibliographic record

VenueInternational Journal of Nursing Education Scholarship · 2023
Typearticle
Languageen
FieldPsychology
TopicPerfectionism, Procrastination, Anxiety Studies
Canadian institutionsUniversity of Manitoba
Fundersnot available
KeywordsPhenomenonFeelingPsychologyQualitative researchFocus groupGraduate studentsNursingNurse educatorMedical educationPedagogyNurse educationMedicineSocial psychologySociology

Abstract

fetched live from OpenAlex

Intuitively, nurse educators know that graduate students in both master's and doctoral programs question their ability to succeed. The impostor phenomenon (IP) is an internalized sense of inadequacy and fear of being seen as a fraud in the presence of external indicators of authentic achievement, and experienced by high achieving, successful individuals. Fifty-three percent (49/93) of graduate students completed the CIPS survey, and 11 master's (regular streams & nurse practitioner) and two doctoral students participated in focus group interviews. The quantitative results showed that 88 % of participants experienced moderate to intense impostor phenomenon. Two themes emerged in the qualitative analysis: (i) experiencing the imposter phenomenon and (ii) managing feeling like an impostor. Descriptions of IP were similar across the three groups of participants. This research provides a foundational understanding of how IP is experienced by graduate nursing students.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.421
Threshold uncertainty score0.609

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.001
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 head0.355
GPT teacher head0.506
Teacher spread0.151 · 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

Citations11
Published2023
Admission routes1
Has abstractyes

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