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Record W3044247562 · doi:10.4324/9780367344092-22

“Nature is never spent”?

2020· book-chapter· en· W3044247562 on OpenAlexaboutno aff
Deborah C. Bowen

Bibliographic record

Venuenot available
Typebook-chapter
Languageen
FieldEnvironmental Science
TopicEnvironmental Philosophy and Ethics
Canadian institutionsnot available
Fundersnot available
KeywordsHistory

Abstract

fetched live from OpenAlex

Gerard Manley Hopkins in “God’s Grandeur” (1877) considered the negative effects of humankind on God’s good creation and concluded that “nature is never spent:/There lives the dearest freshness deep down things” – not because nature has inherent power, but because “the Holy Ghost over the bent/World broods”. In our own recently named Age of the Anthropocene, in which the overwhelming effects of human intervention into the created order are seen as well-nigh irreversible, it can be difficult to maintain Hopkins’ calm assurance. This essay considers three poems by contemporary Canadian poets of differing spiritual persuasions for whom poetry provides a prophetic voice in which to propose alternative modes of ecological being. P. K. Page in “Planet Earth” sees the work of human hands as vital for the health of the planet, but only when combined with the care of archangels and art as an act of love. Don McKay in “Twinflower” enacts the “poetic attention” that he calls “a species of longing which is without the desire to possess” and celebrates in botanical whimsy “the wilderness of the other.” John Terpstra in “Flames of Affection, Tongues of Flame” shows how paying attention even to rocky outcrops in broken urban nature can be a lifegiving experience that challenges the status quo and reminds us of the transcendent. All three poets honour the natural world in prophetic voices that arouse hope by encouraging attention and creative response.

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)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.180
Threshold uncertainty score0.358

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0140.025
Scholarly communication0.0080.007
Open science0.0010.002
Research integrity0.0020.005
Insufficient payload (model declined to judge)0.0050.001

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 head0.020
GPT teacher head0.217
Teacher spread0.197 · 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 designTheoretical or conceptual
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

Citations0
Published2020
Admission routes1
Has abstractyes

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