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“Let’s help our own”

2019· article· en· W2965209517 on OpenAlexaffabout
Carmela Murdocca

Bibliographic record

VenueOñati Socio-legal Series · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicAsian Geopolitics and Ethnography
Canadian institutionsYork University
Fundersnot available
KeywordsColonialismRacismHumanitiesCompassionPolitical scienceEthnologyIndigenousRhetoricRefugeeHumanitarian crisisGender studiesSociologyArtLawPhilosophyTheology

Abstract

fetched live from OpenAlex

This article explores narratives of humanitarian compassion as rendered intelligible through the relational intersecting concerns about Syrian refugees and the suicide crisis in the Indigenous community of Attawapiskat, Ontario. Fuelled by a combination of anti-refugee rhetoric, racism and ongoing colonialism experienced by Indigenous people and communities, public and media discourse reveals how humanitarian governance is constitutive of the genealogy of settler colonialism. I suggest that examining the political genealogy of humanitarian governance in white settler colonialism assists in revealing the centrality of racial colonial violence in producing public and media discourse that is contingent upon the relational currencies of anti-refugee rhetoric, racism and humanitarian compassion. As expressions of a grammar of racial difference in liberal settler colonialism, these discourses ultimately reveal how racial colonial violence is constituted through the genealogy of humanitarianism.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.746
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.001

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 head0.012
GPT teacher head0.283
Teacher spread0.271 · 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.

Study designNot applicable
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

Citations4
Published2019
Admission routes2
Has abstractyes

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