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Record W3016166160 · doi:10.5539/ells.v10n2p27

A New Exploration of Roderick Usher’s Death Based on the Ecological Niche Theory

2020· article· en· W3016166160 on OpenAlexvenueno aff

Bibliographic record

VenueEnglish Language and Literature Studies · 2020
Typearticle
Languageen
FieldEnvironmental Science
TopicEnvironmental DNA in Biodiversity Studies
Canadian institutionsnot available
Fundersnot available
KeywordsDemiseNothingNicheNatural (archaeology)HarmEcological nicheEnvironmental ethicsEcologyHistoryPhilosophyBiologyEpistemologyLawPolitical scienceArchaeology

Abstract

fetched live from OpenAlex

Roderick Usher is the protagonist of Edgar Allan Poe’s masterpiece The Fall of The House of Usher. Concerning his death, the scholars and critics at home and abroad have discussed a lot but there is no fixed conclusion. Based on the ecological niche theory, this thesis explored Roderick Usher’s death and concluded that his death was a natural outcome as his natural as well as his social niche positions were on the decline because of his failure to have effective communication with the environment he was living in and with the people around him. Furthermore, his niche trend to do nothing to the ever-decaying living environment but to do harm to his twin sister further accelerated the demise of his niche position. It is hoped that this thesis can shed some new light on the exploration of Roderick Usher’s death and work as a kind of tentatively interdisciplinary research between ecology and literature.

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)0.004
metaresearch head score (Gemma)0.005
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 score0.008
Threshold uncertainty score0.038

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0030.002
Science and technology studies0.0080.034
Scholarly communication0.0060.012
Open science0.0010.004
Research integrity0.0020.004
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 head0.023
GPT teacher head0.229
Teacher spread0.206 · 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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