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Record W7165751130 · doi:10.1353/vcr.2025.a993444

Open Ecologies in The Evergreen : A Northern Seasonal (1895–97)

2025· article· en· W7165751130 on OpenAlexvenueno aff
Lucy Lawrence

Bibliographic record

VenueVictorian review · 2025
Typearticle
Languageen
FieldArts and Humanities
TopicScottish History and National Identity
Canadian institutionsnot available
Fundersnot available
KeywordsEvergreenManifestoEcocriticismFantasyScholarshipWildernessCeltic languages

Abstract

fetched live from OpenAlex

Abstract: Patrick Geddes's little magazine The Evergreen: A Northern Seasonal (1895–97) advocated for Celtic revivalism in Edinburgh at the fin de siècle . Scholars have often characterized The Evergreen as an organicist manifesto because of how it conceptualized processes of cultural and environmental change through composting metaphors of seasonal rebirth. Although the magazine does display an organicist impulse, this desire for holistic closure is unsettled by incoherencies that do not fit within neat fantasies of cyclicality. This article employs archival-based research, contextual research, and ecocritical theories to identify moments of friction between closure and openness that trouble the magazine's organicist fantasy of Renascence. I argue that this tension is generated by the magazine's complex engagement with decadence, neopaganism, and the Celtic revival—cultural movements often seen as at odds with each other. With close readings attentive to the magazine's sympathies for concurrent countercultural movements, I will demonstrate how The Evergreen 's open ecological values helped contributors to imagine radical routes to sustainable futurity by destabilizing political complacency, unsettling urban alienation, and encouraging multispecies kinship.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.820
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.000

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 head0.053
GPT teacher head0.303
Teacher spread0.251 · 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.

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
Published2025
Admission routes1
Has abstractyes

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