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Record W2742587188 · doi:10.5539/ells.v7n3p43

Animals in Walden

2017· article· en· W2742587188 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

venuePublished in a venue whose home country is Canada.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueEnglish Language and Literature Studies · 2017
Typearticle
Languageen
FieldComputer Science
TopicThoreau and American Literature
Canadian institutionsnot available
Fundersnot available
KeywordsCharacter (mathematics)EnvironmentalismSymbol (formal)Environmental ethicsAestheticsSociologyHistoryArtPhilosophyLawPolitical science

Abstract

fetched live from OpenAlex

Henry David Thoreau is a great American writer of transcendentalism and the pioneer of modern environmentalism. Being an ardent lover of nature, he devoted his entire life to studying the relationship between man and nature, and bequeathed a legacy of works in this field. He believed that nature was the symbol of spirit, and had a far-reaching influence on man and his character, and human beings should live harmoniously with nature for the long sustainable development. In Walden which is his masterpiece He endows the animals with human characteristics. Thereupon, Thoreau often describes the similarities between animals and people he comes across. People can be just as greedy and shallow as the marmot of the prairie, or as naughty and clumsy as red squirrels, or as lazy and cunning as chickadees, or as loyal as gundogs in Thoreau’s writings. Thoreau spent two years living a simple life at Walden on his own. He recounted in details the living habits of these animals, from woodchucks, loons to mice and hawks.

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.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.613
Threshold uncertainty score0.840

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.009
GPT teacher head0.291
Teacher spread0.282 · 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