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Record W7027131364

The Celtic languages in contact : Papers from the workshop within the framework of the XIII International Congress of Celtic Studies, Bonn, 26-27 July 2007

2007· article· en· W7027131364 on OpenAlexfundno aff

Bibliographic record

Venuepublish.UP (University of Potsdam) · 2007
Typearticle
Languageen
FieldArts and Humanities
TopicLinguistics and language evolution
Canadian institutionsnot available
FundersQueen's UniversityTrinity College DublinRoyal Irish AcademyArts and Humanities Research BoardArts and Humanities Research CouncilQueen's University Belfast
KeywordsCeltic languagesCeltic TigerGovernment (linguistics)
DOInot available

Abstract

fetched live from OpenAlex

This collection contains 13 papers presented in the workshop on the "The Celtic Languages in Contact" organised by Hildegard L. C. Tristram at the XIII International Celtic Congress in Bonn (Germany), July 23rd - 27th, 2007. The authors of two papers from another section also contributed their papers to this volume, as they deal with closely related issues. The time-span covered ranges from potential pre-historic contacts of Celtic with Altaic languages or Nostratic cognates in Celtic, through the hypothesis of Afro-Asiatic as a possible substrate for Celtic, Latin and Gaulish contacts in Gaul, the impact of Vulgar Latin on the formation of the Insular Celtic Languages as a linguistic area (Sprachbund), to various contact scenarios involving the modern Insular Celtic languages as well as English and French. The final paper reflects on the political status of the modern Insular Celtic languages in the Europe of the 27 EU countries.

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)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.045
Threshold uncertainty score0.151

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.002
Science and technology studies0.0070.002
Scholarly communication0.0060.003
Open science0.0010.005
Research integrity0.0030.003
Insufficient payload (model declined to judge)0.0450.005

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 head0.019
GPT teacher head0.238
Teacher spread0.220 · 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 designNot applicable
Domainnot available
GenreOther

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
Published2007
Admission routes1
Has abstractno

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