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Record W2302820181 · doi:10.1177/1532708616638691

Obituaries as Markers of Memory

2016· article· en· W2302820181 on OpenAlexafffundabout
Yasmin Jiwani

Bibliographic record

VenueCulture Studies &#x2194 Critical Methodologies · 2016
Typearticle
Languageen
FieldSocial Sciences
TopicCanadian Identity and History
Canadian institutionsConcordia University
FundersConcordia University
KeywordsStateless protocolInvisibilitySovereigntyArticulation (sociology)Race (biology)White (mutation)VisibilityGender studiesSettlement (finance)State (computer science)ReproductionSociologyPolitical sciencePoliticsHistoryGeographyLaw

Abstract

fetched live from OpenAlex

Many Aboriginal peoples belong to stateless nations within the White Canadian nation-state. Their claims to sovereignty are predicated on a timeless, immemorial existence that predates White settlement. Yet, the very reproduction of the nation is a gendered and raced project, centering some bodies while marginalizing others. In tracing the ways in which Aboriginal women have been projected on the canvass of the nation’s memorials—in obituaries—this article interrogates the visibility/invisibility of Aboriginal women and sheds light on the changing racial logic that underpins the articulation of race and gender in the twenty-first century.

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)0.002
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: none
Teacher disagreement score0.567
Threshold uncertainty score0.861

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.007
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0040.003
Science and technology studies0.0200.043
Scholarly communication0.0130.008
Open science0.0020.010
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0110.001

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 head0.131
GPT teacher head0.425
Teacher spread0.294 · 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

Citations7
Published2016
Admission routes3
Has abstractyes

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