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Record W4312282341 · doi:10.1386/jpme_00082_1

Imposter syndrome: A case study on the experiences and perspectives of a teenage feminist indie band

2022· article· en· W4312282341 on OpenAlexaff
Lloyd McArton

Bibliographic record

VenueJournal of Popular Music Education · 2022
Typearticle
Languageen
FieldArts and Humanities
TopicDiverse Music Education Insights
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsIndie filmFeelingResentmentMusicalPsychologyGender studiesSociologyFace (sociological concept)AestheticsArtSocial psychologyVisual artsMedia studiesPolitical scienceSocial science

Abstract

fetched live from OpenAlex

This research article features the perspectives of two young women who create and perform as an indie band together. Their stories demonstrate a stark contrast between their relative success in this early stage of their career and the obstacles that they continue to face. Linked to an underlying feeling of imposter syndrome, they reveal an ongoing struggle with confidence as musicians, resentment of the gentrification and closure of music venues, unsupportive high school teachers and administration and age-related barriers to the indie music scene. Encounters with sexism and ageism within the music scene and industry allude to systemic issues resulting in a dearth of musical spaces in which young artists can participate safely. Through interrogation of existing pathways to musical experiences and deeper understanding of young artists and their experiences within these avenues, attention to these discrepancies is critical in all settings of music education.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.006
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.015
Threshold uncertainty score0.016

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.006
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0150.009
Scholarly communication0.0050.004
Open science0.0020.008
Research integrity0.0040.006
Insufficient payload (model declined to judge)0.0030.001

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 head0.077
GPT teacher head0.282
Teacher spread0.205 · 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 source (direct Gemma or distilled Codex), not a consensus.

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

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