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Record W7015382051

The Stories that Shape Us: Deconstructing Gender Narratives that Limit Hazara Canadian Women’s Aspirations

2025· other· en· W7015382051 on OpenAlexaboutno aff

Bibliographic record

VenueOCAD University Open Research Repository (OCAD University) · 2025
Typeother
Languageen
Field
Topic
Canadian institutionsnot available
Fundersnot available
KeywordsNarrativeContext (archaeology)Futures studiesPower (physics)NegotiationInequalityArgument (complex analysis)Doing genderIntersectionality
DOInot available

Abstract

fetched live from OpenAlex

This research examines how gender narratives – the culturally transmitted stories, beliefs, and assumptions about appropriate roles and behaviors based on gender – shape the life choices and identities of Hazara women in the Canadian diaspora. Using a systemic design methodology, I investigate how these narratives persist in the Hazara culture and contribute to broader patterns of gender inequality observed in Canada. Through direct engagement with Hazara women across Canada, I identify three powerful narratives that consistently constrain women’s choices: i) narratives that i) frame traditional gender roles as natural and biologically determined, ii) position preservation of cultural values against women’s freedom, and iii) depict women’s lives as incomplete without marriage and motherhood. Systems mapping reveals how these narratives interact with power imbalances within households and broader systems to create negotiation grounds that produce predictable and traditional gendered outcomes that are deemed “practical”. This research specifically deep dives into the context of mix-gender households across six key decision areas: i) division of domestic labor, ii) career choices, iii) marital name change practices, iv) financial decision-making, v) reproductive choices, and vi) tolerance for intimate partner violence. These patterns persist through self-reinforcing cycles where gender-conforming outcomes reinforce the same power disparities and limiting narratives. Using foresight methodologies, I explore both current system dynamics and potential futures where gender no longer unnecessarily constrains human possibility. These analyses reveal that our current gender system is under increasing strain, with tensions emerging between women’s high educational achievements and undesirable occupational outcomes, women’s desires for family and aspirations for careers, and continued devaluation of women’s unpaid care work and growing demands for caregivers. Based on visions of desired gender futures from Hazara women in 2050, I use Donella Meadows’ leverage points framework to propose two complementary pathways toward gender transformation: the Personal Climber’s Path for individuals seeking change in their personal lives and the Collective Builder’s Path for individuals seeking community and systemic transformation. These pathways identify strategic intervention points ranging from concrete changes in material structures to profound shifts in underlying paradigms.

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)0.009
metaresearch head score (Gemma)0.011
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 score0.084
Threshold uncertainty score0.610

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0090.011
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0030.002
Science and technology studies0.0310.037
Scholarly communication0.0140.005
Open science0.0030.010
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0060.000

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 head0.121
GPT teacher head0.304
Teacher spread0.183 · 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

Citations0
Published2025
Admission routes1
Has abstractyes

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