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Record W4413127307 · doi:10.1177/13675494251357738

Manosphere creep: Emotional and hermeneutic labour in Netflix’s Adolescence

2025· article· en· W4413127307 on OpenAlex
Meaghan Furlano

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueEuropean Journal of Cultural Studies · 2025
Typearticle
Languageen
FieldSocial Sciences
TopicGender, Feminism, and Media
Canadian institutionsWestern University
Fundersnot available
KeywordsEmotional laborSociologyPsychologyGender studiesAestheticsSocial psychologyArt

Abstract

fetched live from OpenAlex

This short article examines the depiction of emotional and hermeneutic labour in the Netflix series Adolescence , which has sparked widespread cultural discourse around youth, masculinity and the mainstreaming of manosphere ideologies – what I term ‘manosphere creep’. These forms of labour are disproportionately performed by women across paid, ‘professional’ domains and unpaid, ‘private’ contexts. The analysis foregrounds not only the emotionally depleting nature of this labour in the series but also the exploitative dynamics it reveals, particularly within heterosexual and gendered relationships, where men often benefit from women’s labour without acknowledgement or reciprocity. Adolescence is valuable for the way it makes these gendered inequalities visible. Yet, it is remarkable how little cultural commentary has unpacked these glaring depictions. By tracing these patterns in Adolescence , the article addresses a gap in media analyses regarding the gendered allocation of emotional and hermeneutic labour in popular media texts. It further posits that this unequal distribution constitutes a pressing feminist issue that warrants deeper cultural and theoretical engagement.

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.

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.448
Threshold uncertainty score0.268

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 integrity0.0000.000
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 head0.046
GPT teacher head0.335
Teacher spread0.289 · 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