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Record W1551889563 · doi:10.1111/sena.12080

A<scp>N</scp>ewfoundland Ethnicity? The Political Implications of Post‐Confederation Nationalism in<scp>N</scp>ewfoundland

2014· article· en· W1551889563 on OpenAlexaff
James Baker

Bibliographic record

VenueStudies in Ethnicity and Nationalism · 2014
Typearticle
Languageen
FieldSocial Sciences
TopicCanadian Identity and History
Canadian institutionsMemorial University of Newfoundland
Fundersnot available
KeywordsNationalismEthnic groupPoliticsContext (archaeology)EthnogenesisSociologyIdentity (music)Gender studiesEthnic nationalismPolitical scienceAnthropologyHistoryLawAestheticsPhilosophy

Abstract

fetched live from OpenAlex

Abstract Ethnicity is very much at the core of the individual and has been known to constitute the basis of nationalisms. Loosely speaking, an ethnic group refers to those who identify with one another through a number of shared characteristics (e.g. culture, language, or religion). Based on this, scholars would agree that most Quebeckers meet the criteria – but what about Newfoundlanders? Does calling oneself a ‘ N ewfoundlander’ invoke a specific set of linguistic or cultural features that are held to be common? Are Newfoundlanders an ethnic group? If a ‘ N ewfoundland ethnicity’ exists, could a ‘ N ewfoundland ethnic identity’ lead to a post‐Confederation N ewfoundland nationalism? In order to address these questions, I use a modified version of what Anthony D. Smith (1986) says constitutes the core of national identity, the ethnie , and, to place the analysis in context, I briefly discuss nationalism and ethnicity. Following this, I provide an overview of the origins of a N ewfoundland ethnogenesis, a review of key post‐Confederation N ewfoundland ‘nationalist’ events, as well as an analysis of each aspect of ethnie from a N ewfoundland perspective. The article concludes by arguing that while Newfoundlanders can be considered a distinct ethnic group, the likelihood of a post‐Confederation N ewfoundland nationalism emerging is low.

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)0.002
metaresearch head score (Gemma)0.012
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.747
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.012
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.002
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 head0.043
GPT teacher head0.335
Teacher spread0.292 · 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 designTheoretical or conceptual
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
Published2014
Admission routes1
Has abstractyes

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