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Record W3014299180 · doi:10.5130/ccs.v11.i2.6765

Resisting the Far-Right: Indigenous Perspectives, Community Arts and Story-Based Strategy

2020· article· en· W3014299180 on OpenAlex
Chris Brown

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueCosmopolitan Civil Societies An Interdisciplinary Journal · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicParticipatory Visual Research Methods
Canadian institutionsImpact
Fundersnot available
KeywordsIndigenousRhetoricPoliticsSustenanceConversationSociologyRefugeeThe artsPolitical scienceImmigrationAestheticsMedia studiesGender studiesEnvironmental ethicsLaw

Abstract

fetched live from OpenAlex

This article explores how we might resist and confront anti-immigration and anti-refugee politics by addressing the social and historical well-spring from which these discriminatory and damaging politics emerge and take sustenance. In doing this, I draw upon the concept of story-based strategy and the idea that our potential to address this issue relies on our capacity to fundamentally shift the dominant ways in which people understand and engage with it. This discussion occurs with reference to one practical application of story-based strategy – a community-arts project titled Stories of Hope and Migration – which attempted to re-frame the migration and refugee debate in Australia by funnelling it through a localised Indigenous perspective. In so doing, this article challenges the way in which early British migrants and their descendants have continually excised themselves from the rhetoric of migration, and furthermore, suggests that through a more nuanced conversation regarding the migration stories of all non-Aboriginal people, we might better promote a more historically aware, compassionate and inclusive society.

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.

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)0.009
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Research integrity
Consensus categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.056
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0090.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0200.003
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0000.003
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 head0.409
GPT teacher head0.559
Teacher spread0.150 · 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