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Record W4405923861 · doi:10.3126/kjour.v6i2.73146

Exploring Symbiosis: a Critique of Anthropocentrism in Jack London’s The Call of the Wild

2024· article· en· W4405923861 on OpenAlexaff
Bhup Raj Joshi

Bibliographic record

VenueKhwopa Journal · 2024
Typearticle
Languageen
FieldArts and Humanities
TopicEcocriticism and Environmental Literature
Canadian institutionsWestern University
Fundersnot available
KeywordsAnthropocentrismEnvironmental ethicsRelation (database)Context (archaeology)EpistemologyOffensiveCONTESTSociologyIdentity (music)EcologyPhilosophyPolitical scienceBiologyLawAesthetics

Abstract

fetched live from OpenAlex

This article explores the relationship between human beings and animals with the ecocritical lens. The objective of this paper is to bring the original relation between human and nonhuman beings into context by addressing the question that how is human identity and existence shaped by animals and how can the symbiotic bonding between them be established for sustainable existence of all? The critical and theoretical insights from Emmanunel Levinas's ethical considerations of interest, Jacques Derrida's idea of relative existence along with the issues of ecological-environmental justice and other philosophical, ethical - biological views of the scholars are special considerations of this research to critique human and nonhuman animal dichotomy to bring out the state of symbiosis. It finds a symbiotic relationship between the two species that leads the work to critiquing pervasive speciesism in human. The human and nonhuman beings appear in the contesting relation in the culture leading to the state of negation, exploitation, consumption and extinction. From wild to tamed, aquatic to terrestrial, small to big, powerful to powerless all nonhuman animals have to live defensive lives and humans always behave in offensive way against them. The discourse that human is endowed with prerogatives over the nonhumans is self-created. So, the rivalry between human and animal is a suicidal contest between culture and nature

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)0.000
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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.783
Threshold uncertainty score0.579

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 communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.038
GPT teacher head0.229
Teacher spread0.191 · 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.

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
Published2024
Admission routes1
Has abstractyes

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