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Record W1583158725 · doi:10.7202/1119922ar

Nostalgia and Poetry: Reflections on Research, Creative Expression, and Fieldwork Across Borders

2013· article· en· W1583158725 on OpenAlexaffabout
Maki Motapanyane

Bibliographic record

VenueAtlantis Critical Studies in Gender Culture & Social Justice · 2013
Typearticle
Languageen
FieldSocial Sciences
TopicQualitative Research Methods and Ethics
Canadian institutionsMount Royal University
Fundersnot available
KeywordsExpatriateInsiderSociologyPoetryExpression (computer science)ReflexivityNegotiationContext (archaeology)Gender studiesPower (physics)EpistemologyAestheticsSocial scienceLiteraturePolitical scienceHistoryLawArtPhilosophy

Abstract

fetched live from OpenAlex

This paper takes an interdisciplinary theoretical approach to methodological consider-ations of insider/outsider status in the context of transnational research projects. The focus is on expatriate nostalgia in relation to feminist research. Poetry, in the form of fieldwork journal, is presented as a productive outlet for nostalgia—a method of feminist self-reflexivity that can strengthen the researcher’s critical intuition, clarify standpoint and interpretive approach, and mediate the condition of multiple belonging. In the context of fieldwork conducted in South Africa in affiliation with a Canadian university, expatriate nostalgia is highlighted as a neglected area of feminist methodological inquiry. The paper further considers the productive potential of creative expression to the process of negotiating identity, dissecting power relations, and tran-scending dichotomous understandings of insider/outsider status in the context of academic research.

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)0.035
metaresearch head score (Gemma)0.046
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.035
Threshold uncertainty score0.187

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0350.046
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0040.004
Science and technology studies0.0310.109
Scholarly communication0.0220.023
Open science0.0030.020
Research integrity0.0070.012
Insufficient payload (model declined to judge)0.0040.001

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 head0.485
GPT teacher head0.660
Teacher spread0.175 · 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 designNot applicable
Domainnot available
GenreOther

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

Citations1
Published2013
Admission routes2
Has abstractyes

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