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Record W6959460794 · doi:10.1017/9781009617802.001

Into the Backcountry

2025· book-chapter· en· W6959460794 on OpenAlexaff

Bibliographic record

VenueCambridge University Press eBooks · 2025
Typebook-chapter
Languageen
FieldAgricultural and Biological Sciences
TopicAgricultural pest management studies
Canadian institutionsMcGill University
Fundersnot available
KeywordsMetaphorEmbodied cognitionArgument (complex analysis)RhetoricComprehensionRealismPower (physics)Cognition

Abstract

fetched live from OpenAlex

Chapter 1 provides an overview of the central argument of the book. Medical anthropology, psychology, and psychiatry must steer a course between realism and constructivism, integrating the useful features of both perspectives. Metaphor theory and 4-E cognitive science provide ways of integrating cognitive and socio-cultural processes. Metaphor production and comprehension involves cognitive and emotional processes embodied and enacted through rhetoric and social discourse. These practices constitute a hermeneutic circle that can be traced from body to person to social world and back. They show how symbols and things live in the same world. This work has implications for understanding the ways illness experience and healing practices are embedded in larger systems of knowledge/power. The metaphors that arise in individuals’ struggles to make sense of their predicaments and to heal from affliction are borrowed from everyday concepts of mind and body, as well as the political language of power, resistance, and dissent. Every metaphor lends power to a particular view of the world. We must judge the value of metaphors on their moral, political, aesthetic, and pragmatic implications.

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)0.000
metaresearch head score (Gemma)0.001
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: Other · Consensus signal: Other
Teacher disagreement score0.233
Threshold uncertainty score0.780

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0040.002
Scholarly communication0.0070.005
Open science0.0010.003
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.2330.071

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 head0.015
GPT teacher head0.172
Teacher spread0.157 · 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
GenreOther

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
Published2025
Admission routes1
Has abstractyes

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