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Record W3179180626 · doi:10.22374/ijmsch.v4i1.55

“Just Shave It Off”

2021· article· en· W3179180626 on OpenAlexvenueno aff
Glen Jankowski, Michael D. Sherwin, Nova Deighton-Smith, Beth T. Bell

Bibliographic record

VenueInternational Journal of Men s Social and Community Health · 2021
Typearticle
Languageen
FieldMedicine
TopicHair Growth and Disorders
Canadian institutionsnot available
Fundersnot available
KeywordsMale-pattern baldnessFraming (construction)Resistance (ecology)PsychologyMasculinityDistressMedicinePsychotherapistPsychoanalysisDermatologyHistory

Abstract

fetched live from OpenAlex

Introduction Head hair comprises a critical part of the male appearance ideal, which itself is a crucial signifier of a man’s masculinity. However, difficulties in recruitment have meant that research has not yet fully explored how men construct the loss of head hair (baldness), perhaps because it is considered “feminine” to disclose body dissatisfaction experiences to a researcher or other people. Methods and Design Online forums provide an opportunity for the anonymous discussion of body dissatisfaction that may overcome this obstacle. The first 260 forums posts from the two most popular baldness forums were thematically analysed. Ethics Statement Institutional ethics approval was granted. Results and Discussion We identified three themes titled: (1) Baldness is an ugly and demasculinising condition, (2) Baldness is stigmatised by a superficial society and superficial women and (3) Resistance to baldness despair. Our findings show baldness distress, and stigma exist though so does resistance, which can be comforting to men experiencing baldness or any form of body dissatisfaction. Conclusion and Implications Online forums are a salient resource to enhance our understanding of men’s balding concerns and disclosure barriers. Independent, professional and effective baldness support that unpacks baldness masculinised and medicalised framing is recommended.

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: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.623
Threshold uncertainty score0.267

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 studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.079
GPT teacher head0.410
Teacher spread0.332 · 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 designOther design
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

Citations5
Published2021
Admission routes1
Has abstractyes

Explore more

Same venueInternational Journal of Men s Social and Community HealthSame topicHair Growth and DisordersFrench-language works237,207