MétaCan
Menu
Back to cohort
Record W1541262208

Challenges to an Irish Eco-Criticism

2013· article· en· W1541262208 on OpenAlexvenueno aff
John Foster

Bibliographic record

Venue˜The œjournal of ecocriticism · 2013
Typearticle
Languageen
FieldSocial Sciences
TopicIrish and British Studies
Canadian institutionsnot available
Fundersnot available
KeywordsIrishCriticismLiterary criticismNatural (archaeology)EnvironmentalismPoliticsHistoryEnvironmental ethicsRomanceAestheticsSociologyLiteraturePolitical scienceLawPhilosophyArtArchaeology
DOInot available

Abstract

fetched live from OpenAlex

If the term ‘Green Studies’ is a contemporary synonym for ‘eco-criticism’ then Ireland would seem a natural habitat (as it were) for the practice of eco-criticism. No country has been more identified with the green world; and had Irish Studies been called from the first ‘Green Studies’ few would have objected in the days before environmentalism and before other colours in the cultural, if not political, Irish spectrum were admitted. Irish paradigmatic perceptions and representations of the natural world still exert great cultural influence on and in our literature – the aesthetic, the scientific, the economic, the Romantic, the nativist, the religious, the folkloristic. Of these, only the economic and scientific have not been culturally celebrated by many literary critics, while science’s productions – from nature-writing to scientific papers and monographs – are largely ignored by critics and anthologists, and by writers who are scientifically unsympathetic, indifferent or not conversant. Yet eco-criticism requires the scientific paradigm, and while a truly environmental literature may not have come into being in Ireland there is nevertheless a great deal of Irish writing can stimulate future ecocrticial discussions.

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)0.044
metaresearch head score (Gemma)0.035
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: Empirical · Consensus signal: none
Teacher disagreement score0.048
Threshold uncertainty score0.230

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0440.035
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.002
Science and technology studies0.0170.032
Scholarly communication0.0240.010
Open science0.0030.013
Research integrity0.0080.017
Insufficient payload (model declined to judge)0.0120.003

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 head0.042
GPT teacher head0.326
Teacher spread0.284 · 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

Citations4
Published2013
Admission routes1
Has abstractyes

Explore more

Same venue˜The œjournal of ecocriticismSame topicIrish and British StudiesFrench-language works237,207