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Record W3178478571 · doi:10.19044/esj.2021.v17n19p22

Perceptions and Experiences of Change in Practices of Masculinity among University-Educated Men of Iranian Origin in Quebec

2021· article· en· W3178478571 on OpenAlexaffabout
Zohreh Mehdizadeh

Bibliographic record

VenueEuropean Scientific Journal ESJ · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicGender Roles and Identity Studies
Canadian institutionsUniversité Laval
Fundersnot available
KeywordsMasculinitySituatedContext (archaeology)Gender studiesAgency (philosophy)Sociocultural evolutionSociologyPerceptionThematic analysisIdeal (ethics)Social psychologyQualitative researchPsychologySocial sciencePolitical scienceGeographyAnthropology

Abstract

fetched live from OpenAlex

Through 19 qualitative interviews with university-educated men of Iranian origin living in the province of Quebec, this article sets out to examine their perceptions and experiences of performing masculinity in a new social setting. The Life Course theoretical approach has been applied to analyze how a shift in the social, cultural, and family context run by different ideals of manhood impacts the practices through which men expressed their masculinity. Thematic and comprehensive analyses of the data revealed gender roles apportioned to men in the society of origin, conjugality, and legal standards of the host society to be the main domains where changes and challenges were experienced. The results help us understand that masculinity, like femininity, is a contextually situated trajectory constructed in an ongoing interaction between the larger social structures and individual agency; like any other pathways of individuals’ lives, masculinity is a continuous process of rethinking and reinventing certain configurations, including the gender relevant attitudes and behaviors establishing what manhood is about and how it should be in a given societal context (Carpenter, 2010; West & Zimmerman, 1987). Masculinity is also a situated act as it evolves in a sociocultural context that has already defined some expressions of gender identities as ideal (West & Zimmerman, 1987).

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: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.162
Threshold uncertainty score0.978

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
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 head0.104
GPT teacher head0.343
Teacher spread0.238 · 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 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
Published2021
Admission routes2
Has abstractyes

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