MétaCan
Menu
Back to cohort
Record W7020667463

Making Ireland: The ‘Made in Ireland’ trade mark and the delineation of national identity

2023· article· en· W7020667463 on OpenAlexaff

Bibliographic record

VenueResearch Portal (Queen's University Belfast) · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicIrish and British Studies
Canadian institutionsQueen's University
Fundersnot available
KeywordsNational identityIdentity (music)Identification (biology)Government (linguistics)Field (mathematics)Context (archaeology)
DOInot available

Abstract

fetched live from OpenAlex

This chapter explores the efforts of Irish nationalists to define and regulate the national identity of Ireland through the vehicle of country-of-origin trademarking. Specifically, it charts the rise of the Irish Industrial Development Association (IIDA), a voluntary organisation that from 1907 regulated the use of an Irish country-of-origin trademark, styled Déanta i nÉirinn. The chapter begins with an overview of the historical context in which the Déanta i nÉirinn was developed. It then documents the establishment and growth of the Déanta i nÉirinn trademark and its place within the broader Irish industrial development movement. Attention then turns to the Déanta i nÉirinn trademark users, revealing the sectoral and geographical breakdown. By analysing the products that carried the Déanta i nÉirinn trademark, this chapter provides a sketch of Irish identity before independence in the eyes of contemporary consumers. The IIDA also prosecuted non-Irish producers that fraudulently sold goods with Irish connotations. By analysing the defendants in these cases, this chapter provides further insights into Ireland’s brand identity before independence.

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)0.003
metaresearch head score (Gemma)0.004
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: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.092
Threshold uncertainty score0.183

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0090.040
Scholarly communication0.0160.009
Open science0.0010.007
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0040.001

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 head0.045
GPT teacher head0.348
Teacher spread0.303 · 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
Published2023
Admission routes1
Has abstractyes

Explore more

Same venueResearch Portal (Queen's University Belfast)Same topicIrish and British StudiesFrench-language works237,207