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Record W3001657588

Negotiating borders: The ‘everyday’ encounters of Black African immigrant caregivers in Vancouver, British Columbia

2019· dissertation· en· W3001657588 on OpenAlexaboutno aff
Maureen Kihika

Bibliographic record

VenueSummit (Simon Fraser University) · 2019
Typedissertation
Languageen
FieldSocial Sciences
TopicMigration, Ethnicity, and Economy
Canadian institutionsnot available
Fundersnot available
KeywordsNegotiationImmigrationGender studiesGeographySociologyEthnologyHistoryArchaeologySocial science
DOInot available

Abstract

fetched live from OpenAlex

Organized around the central question of how transnational migration in a global neoliberal era has left unchallenged the gendered and racialized nature of caregiving work, my dissertation focuses on the experiences of racialized Black African immigrant caregivers in lower mainland Vancouver. In this context, my dissertation evaluates how power relations that are entrenched in social and political constructs of race, ethnicity, class, gender, immigration status etc., - as intersecting networks - administer and reinforce distinctive social inequalities, reproducing hierarchies upon which material and symbolic powers are based. Based on a life-work framework interrogating caregivers’ sense of belonging, my project identifies and discusses border encounters, as described by Black immigrant caregivers. Largely through discursive covert processes and practices, caregivers described being often singled out, and or assigned less desirable or more dangerous work. Caregivers demonstrated these border encounters through stories and narratives that epitomized their “not quite fitting in” and hence, their contradictory sense of belonging and exclusion. Indicative of the liminal experiences that often pervades the lives of racialized immigrants; these border testimonies belied the principles of a pluralistic multicultural Canada. Centered on the lives and material realities of eight respondents, this feminist ethnography was formulated through anti-racist, Black and feminist intersectional theoretical perspectives. Inspired by these theoretical foundations, the study applies the witness accounts of caregivers to explicate how they navigated isolating encounters. Through a critical re-examination of their own history, which caregivers engaged in by re-formulating social and political factors that determined their lives, my dissertation holds that this group of immigrants sought to transform their sense of selves as empowered and active agents in the work spaces they occupied. Although the caregivers employed critical approaches in negotiating contradictory encounters and resisting isolating experiences, this project finds that racialized and ethnicized social identities remained a salient theme in how the respondents interpreted and made sense of their work-related encounters. Thus, my discussion grapples with understanding how sources of, and shifts in, social identities such as race, class, ethnicity, gender etc. – as sites of (dis) empowerment – influence ‘everyday’ lived experience, and how this is negotiated and contested.

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)0.002
metaresearch head score (Gemma)0.005
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 score0.322
Threshold uncertainty score0.648

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.005
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0300.009
Scholarly communication0.0050.002
Open science0.0020.007
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0030.000

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 head0.008
GPT teacher head0.221
Teacher spread0.213 · 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
Published2019
Admission routes1
Has abstractyes

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