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Record W2991401431 · doi:10.5539/ells.v9n4p21

Multiple Views of the Glimmerglass in the Coopers’ Otsego Lake Writings

2019· article· en· W2991401431 on OpenAlexvenueno aff
Zhong Jing-dong

Bibliographic record

VenueEnglish Language and Literature Studies · 2019
Typearticle
Languageen
FieldArts and Humanities
TopicEcocriticism and Environmental Literature
Canadian institutionsnot available
Fundersnot available
KeywordsSympathyInsiderConsciousnessArtAestheticsSociologyEpistemologyPhilosophyPsychologySocial psychology

Abstract

fetched live from OpenAlex

Focusing on Otsego Lake, named as the Glimmerglass, this paper attempts to offer a further insight into the mode of perceiving and imagining the lake scenery. To get a full picture, the case studies include both fictional and non-fictional works, concerning three generations’ male and female perspectives from James Fenimore Cooper, his father and his eldest daughter. The specific study adopts a method of being “descriptive and phonomenological” (Hodder, 2001, p. 23). By citing and juxtaposing relative writings, it tries to relive the multiple views of the Glimmerglass and examine particularly the person’s immediate responses to the lake, which might demonstrate the decisive transformation of his or her consciousness. The study finds that although multiple views of a lake are involved in perceiving and imagining its scenery, which combine to make a full picture and bring in rich experiences, the close-up views preferred in The Deerslayer can denote more immediate responses to the lakesape, and accordingly with more engagement and even immersion in the environment an encounter of a lake might become an insider, who, with a “sympathy for mystic states” (Hodder, 2001, p. 21) might regain a sense of homecoming or dwelling.

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)0.002
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.031
Threshold uncertainty score0.061

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0060.010
Scholarly communication0.0040.002
Open science0.0000.003
Research integrity0.0010.002
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 head0.011
GPT teacher head0.217
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 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

Citations0
Published2019
Admission routes1
Has abstractyes

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