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Record W4417447584 · doi:10.1163/24683949-12340145

The Body Surrounded: Smelling Toxicity

2025· article· W4417447584 on OpenAlex
Chanelle Dupuis

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueCulture and Dialogue · 2025
Typearticle
Language
FieldNeuroscience
TopicOlfactory and Sensory Function Studies
Canadian institutionsFrancophone University Association
Fundersnot available
KeywordsUndoToxicityRepresentation (politics)TransferabilityOlfactory perceptionWorkplace safety

Abstract

fetched live from OpenAlex

Abstract When it comes to that which is “toxic”, it must be inhaled. Whatever chemical, whatever its molecular composition, it is inhaled through the nose, and it enters the body. In this paper, I explore toxicity as that which is smelt, that which is inhaled and taken in as part of the body. This paper, divided into three sections, explores toxic odors as intrinsically linked to breathing (since to smell is to breathe), as carriers of a particular aesthetic, and as tools for resistance. Through examples from organizations such as Nez Normands, literary texts such as Robert Antelme’s L’espèce humaine , and exhibits such as Par la fumée , I explore how toxic odors complicate established systems of representation and how these undo dichotomies that label smells as either “good” or “bad”. Toxic scents, as this smell studies analysis shows, can be a source of art, pride, resistance, and politics.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.767
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0040.001
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.071
GPT teacher head0.278
Teacher spread0.207 · 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