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Record W1485749838

Storied Displacement, Storied Faith: Engaging Church-Based Activism in Canada with Refugee Fiction and Diaspora Studies

2012· dissertation· en· W1485749838 on OpenAlexaboutno aff
Glanville E Erin Goheen

Bibliographic record

VenueMacSphere (McMaster University) · 2012
Typedissertation
Languageen
FieldSocial Sciences
TopicReligion, Society, and Development
Canadian institutionsnot available
Fundersnot available
KeywordsDiasporaRefugeeFaithDisplacement (psychology)Gender studiesDisplaced personArtSociologyReligious studiesPolitical scienceTheologyPsychologyPhilosophyLawPsychoanalysis
DOInot available

Abstract

fetched live from OpenAlex

This dissertation gives a number of answers to the following two research questions: given the storied nature of faith and displacement, what does literary studies have to offer church-based refugee activists in religious diasporas? And what might church-based activists, who are involved in daily struggles to interpret cultural, ethnic, and religious stories for the sake of cultural transformation, have to offer literary studies of displacement? The analysis of this thesis uses literary and cultural theory (diaspora studies, postcolonial theorizations of the exotic, discursive analysis, formalist textual examination, and more) to understand interethnic church-based refugee activism taking place within a specific religious diaspora, the Christian Reformed Church in Canada. The formation of diasporas and faith groups through shared allegiances to communal stories makes literary studies a fitting vantage point from which to examine a religious diaspora. Because religious diasporas have explicitly storied identities, their discourses are open to the potential of stories to effect communal change. Refugee novels and other cultural texts that are valued in diaspora and refugee studies can have a part in shaping the storied identity out of which church-based refugee activism is done, helping religious diasporas to more deeply understand the experiences specific to refugee-ed people and to more closely align their activism with the stated desires of refugee-ed people.

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)0.004
metaresearch head score (Gemma)0.007
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 score0.091
Threshold uncertainty score0.657

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.007
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0030.005
Science and technology studies0.0510.023
Scholarly communication0.0130.003
Open science0.0020.009
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0050.000

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 head0.021
GPT teacher head0.249
Teacher spread0.228 · 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
Published2012
Admission routes1
Has abstractyes

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