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Record W7112489734

Rethinking resilience:Exploring decolonial possibilities of representing narratives of conflict-affected women in the North and East of Sri Lanka

2024· article· en· W7112489734 on OpenAlexaff

Bibliographic record

VenuePure (Coventry University) · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicGender, Security, and Conflict
Canadian institutionsCentre for Global Health Research
Fundersnot available
KeywordsTamilNarrativeHomelandDiasporaResistance (ecology)Theme (computing)ExhibitionPostcolonialism (international relations)
DOInot available

Abstract

fetched live from OpenAlex

This paper reflects on the interventions presented in my master’s thesis from 2020 which analyses representations of conflict affected women in the North and East of Sri Lanka in post conflict discourse through postcolonial and decolonial feminist lenses. A central source in the analysis is a documentary I produced in 2019 titled Women’s Plight: Dreams of a Better Life which presents five women’s narratives of their lives during and post- conflict. This work was produced as a submission to the ‘Tamils of Lanka: A Timeless Heritage’ exhibition which took place in 2019, marking 10 years to the end of the conflict and the atrocities committed by the state at Mullivaikal. The documentary aligned with the exhibition’s central theme of recognising the resilience of the community in the homeland and diaspora through the violence, marginalisation and its resulting impacts. I worked within a team of volunteers, who were part of the Tamil Information Centre in London, to organise the exhibition. The thesis unpacks the reductive ways conflict affected women are represented in the discourse and draws from Sangam literature and historical narratives of gendered spirituality and resistance to trace alternative epistemologies that could be applied to represent these women and their perspectives in more expansive ways. The paper includes reflections from engagement and presentation of these interventions in both academic and non-academic contexts.

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)0.001
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: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.018
Threshold uncertainty score0.283

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.051
GPT teacher head0.266
Teacher spread0.215 · 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

Citations0
Published2024
Admission routes1
Has abstractyes

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