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Record W2590567442 · doi:10.15173/nexus.v24i1.1099

Controlling Celtic Pasts: the production of nationalism in popular British archaeology of Celtic peoples

2016· article· en· W2590567442 on OpenAlexaffvenue
Nicholas Christopher Cole Healey

Bibliographic record

VenueNEXUS The Canadian Student Journal of Anthropology · 2016
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicArchaeological Research and Protection
Canadian institutionsUniversity of Victoria
Fundersnot available
KeywordsCeltic languagesNationalismConsumption (sociology)PoliticsHistoryMedia studiesSociologyArtAnthropologyArchaeologyAestheticsPolitical scienceLaw

Abstract

fetched live from OpenAlex

A textual analysis of four widely distributed books addressing Celtic peoples and intended for a general audience by prominent British archaeologists was conducted to examine how these materials enable the imagination of nations into the past. The analysed texts are argued to variously enable and inhibit differing forms of British Unionist, Celtic and European integrationist nationalisms by alternately projecting Celtic identities into the primordial past or erasing Celtic histories. This research calls attention to the need for archaeologists to engage with the political ramifications of their work and provides a basis for future research examining the contexts of archaeological knowledge production and consumption in their relationship to nationalism.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.655
Threshold uncertainty score0.972

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.002
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.018
GPT teacher head0.273
Teacher spread0.256 · 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 designObservational
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
Published2016
Admission routes2
Has abstractyes

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