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Record W1672246459

Ireland and Ecocriticism: An Introduction

2013· article· en· W1672246459 on OpenAlexvenueno aff
Eóin Flannery

Bibliographic record

Venue˜The œjournal of ecocriticism · 2013
Typearticle
Languageen
FieldSocial Sciences
TopicIrish and British Studies
Canadian institutionsnot available
Fundersnot available
KeywordsIrishValuation (finance)EcocriticismCeltic TigerValue (mathematics)Land reclamationFeelingMarket valueEnvironmental ethicsCultural landscapeHistorySociologyGeographyArchaeologyEconomicsPhilosophyEpistemology
DOInot available

Abstract

fetched live from OpenAlex

Contemporary Irish history, specifically that of the past twenty years, saw the nature of the relationship between people and land alter dramatically and, in large part, detrimentally. So that while ‘land’ and ‘value’ have always been adjacent concepts – the ways in which land came to be valued and hungrily sought after in Irish society reflected a new alignment in the ‘structures of feeling’ that sustained the relations between Irish people and their surrounding environment. Landscape became commercialized at accelerated, and unsustainable, rates as the value-system of significant, and influential, sectors of Irish society changed and only one declension of ‘value’ became dominant: market value. Any ecocritical retrospective of Celtic Tiger Ireland will focus on the idea of values and valuation, but will, naturally, veer away from crass monetaristic valuation towards a reclamation of a sustainable ecological and cultural ethics of landscape valuation.

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)0.001
metaresearch head score (Gemma)0.002
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: Empirical · Consensus signal: none
Teacher disagreement score0.038
Threshold uncertainty score0.087

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.006
Science and technology studies0.0050.010
Scholarly communication0.0120.008
Open science0.0020.005
Research integrity0.0040.005
Insufficient payload (model declined to judge)0.0220.003

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 head0.012
GPT teacher head0.274
Teacher spread0.261 · 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
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

Citations3
Published2013
Admission routes1
Has abstractyes

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