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Record W2590134895 · doi:10.22329/p.v11i2.4780

Digestion, Habit, and Being at Home: Hegel and the Gut as Ambiguous Other

2016· article· en· W2590134895 on OpenAlexvenueno aff
Jane Dryden

Bibliographic record

VenuePhaenEx · 2016
Typearticle
Languageen
FieldHealth Professions
TopicEthics in medical practice
Canadian institutionsnot available
Fundersnot available
KeywordsHegelianismEpistemologyHabitAgency (philosophy)SociologyPhilosophyPsychologySocial psychology

Abstract

fetched live from OpenAlex

Recent work in the philosophy of biology argues that we must rethink the biological individual beyond the boundary of the species, given that a key part of our essential functioning is carried out by the bacteria in our intestines in a way that challenges any strictly genetic account of what is involved for the biological human. The gut is a kind of ambiguous other within our understanding of ourselves, particularly when we also consider the status of gastro-intestinal disorders. Hegel offers us theoretical tools to describe and understand our relationship to our gut. His description of our selves as continually mediated through otherness is strikingly compatible with the kind of structure contemporary biology presents us with. His accounts of digestion and habit, contextualized by his logic, help point toward an understanding of selfhood as porous and yet still capable of being sufficiently unified for us to make sense of ourselves, one which allows us to acknowledge otherness within us while still having enough unity for agency.

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)0.003
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 score0.007
Threshold uncertainty score0.032

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0060.099
Scholarly communication0.0070.009
Open science0.0010.005
Research integrity0.0030.005
Insufficient payload (model declined to judge)0.0020.000

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 head0.044
GPT teacher head0.436
Teacher spread0.392 · 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

Citations7
Published2016
Admission routes1
Has abstractyes

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