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Record W7133059704

Making the Invisible, Visible: Reimagining Immigrant Mental Health Through the Stories of Latinx Women

2023· dissertation· W7133059704 on OpenAlexaffabout
Nicola Gailits

Bibliographic record

VenueTSpace · 2023
Typedissertation
Language
FieldSocial Sciences
TopicInterdisciplinary Cultural and Social Studies
Canadian institutionsPublic Health Ontario
Fundersnot available
KeywordsMental healthNarrativeImmigrationGeneral partnershipNarrative inquiryRefugeeMental distressPower (physics)Global mental health
DOInot available

Abstract

fetched live from OpenAlex

This dissertation describes a community-based qualitative study called ¿Nos Escuchan? (Can You Hear Us?). I conducted this study in Spanish with 14 cis immigrant women from Latin America, in partnership with the Center for Spanish Speaking Peoples in Toronto. I used a critical mental health approach to listen to the stories of Latinx women, to examine the impact of migration on wellbeing. My objective was to explore ways of understanding immigrant mental health outside of colonialist biomedical approaches. I utilized a methodology that I developed for this study (Postcolonial Narrative Inquiry), which is a new approach to narrative inquiry. As methods, I incorporated virtual story circles, metaphorical drawings, and individual interviews, alongside a collaborative podcast, as a knowledge translation tool. The research process centered around an opportunity to build community: participants gathered virtually over the course of six weeks, collectively sharing migration stories.In Chapter 1, I provide a background on immigrant women’s mental health in Canada, the need for critical mental health approaches, and an overview of the study. In Chapter 2, I describe Postcolonial Narrative Inquiry, which utilizes four central components (Deep Seeing, Deep Listening, Deep Hearing, and Deep Feeling) and several concrete tools to contribute to epistemic justice. In Chapter 3, I explore the intersections of four macro elements that impact women’s mental health, and their origins in colonialism, capitalism, and patriarchy. I examine how new language (eg. migratory grief or performing strength) can validate experiences and ground distress within power structures. In Chapter 4, I use a desire-based analysis to examine migration as a process of transformation, and the simultaneous joy and struggle the women experienced in the areas of identity, stability, safety, and community. I step outside of binary analyses to explore the women's complex and non-linear pathways, and the importance of structural supports, in order for all women to “transform” post-migration. In Chapter 5, I reflect on how this dissertation contributes to epistemic justice in its disruption of dominant narratives, its legitimization of new language, and its emphasis on community-building as validation and healing in the face of migratory distress.

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 categoriesMeta-epidemiology (narrow), Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.169
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.002
Science and technology studies0.0110.001
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.070
GPT teacher head0.451
Teacher spread0.381 · 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.

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
Published2023
Admission routes2
Has abstractyes

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