MétaCan
Menu
Back to cohort
Record W4402415421 · doi:10.1353/nai.2024.a936807

Defining a Nation: Métis Nation Building in the Face of Epistemic Injustice

2024· article· en· W4402415421 on OpenAlexaboutno aff
Kurtis Boyer, Chris Andersen

Bibliographic record

VenueNative American and Indigenous Studies · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicCanadian Identity and History
Canadian institutionsnot available
Fundersnot available
KeywordsFace (sociological concept)InjusticeSociologyPolitical scienceLawSocial science

Abstract

fetched live from OpenAlex

Abstract: Over the past four decades, Indigenous political claims "in" Canada have come increasingly to assume a nationalist form. Efforts at instilling a national identity play an abundantly clear role in Indigenous nation (re)building: they hold the potential to concretize internal solidarity, mobilize community to pursue long-term goals, and they aid in overcoming a host of collective action problems. However, for national claims to play such a role, it is necessary that outside groups recognize a community's national identity and accept it as distinct. That is to say, nationhood must be thought about in terms of its occurrence in an (unequally) relational context: claims to a national distinction occur in competition with other claims, in a field of struggle and competition in which actors possess varying abilities to enforce/support claims and to have those claims recognized by others. In this regard, the concept of epistemic injustice is especially useful to engage with the differential capacity of communities to claim and enforce national claims unto others. Our analysis, which focuses specifically on the case of the Métis, pays particular attention to the widespread misrecognitions that occur when a dominant social group marginalizes Métis claims to nationhood. Through this exploration, our article contributes to a better understanding of relational conditions overall and the ways in which identity and nationhood can support the process of Indigenous nation building.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.246
Threshold uncertainty score0.721

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.029
GPT teacher head0.327
Teacher spread0.298 · 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.

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
Published2024
Admission routes1
Has abstractyes

Explore more

Same venueNative American and Indigenous StudiesSame topicCanadian Identity and HistoryFrench-language works237,207