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Record W2531715301 · doi:10.3167/trans.2016.060305

Knowledge, Travel, and Embodied Thought

2016· article· en· W2531715301 on OpenAlexaff
John K. Noyes

Bibliographic record

VenueTransfers · 2016
Typearticle
Languageen
FieldArts and Humanities
TopicHistorical Philosophy and Science
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsEmpiricismEmbodied cognitionReading (process)EpistemologyIdealismFoundation (evidence)Task (project management)PhilosophySociologyPsychologyAestheticsHistoryLinguisticsEngineering

Abstract

fetched live from OpenAlex

In this article I examine Johann Gottfried Herder’s Journal of My Voyage in the Year 1769 as a radical experiment in travel writing. Herder understands travel as an alignment of the mobility of the mind with the mobility of the body, and the task of the travel writer (and the traveling reader) is to use language to explore this alignment. Th e experiment of 1769 was intended as a continuation of his studies on epistemology, which had been intent on finding an alternative understanding of knowledge to the dominant trends of the day, idealism and empiricism. Language and its actualization in reading and writing are the foundation upon which knowledge transfer can be built, and the Journal is an attempt to demonstrate how knowledge transfer is possible.

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)0.002
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
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 score0.996
Threshold uncertainty score0.020

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0040.034
Scholarly communication0.0080.009
Open science0.0010.004
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0050.000

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 head0.051
GPT teacher head0.234
Teacher spread0.182 · 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.

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

Citations0
Published2016
Admission routes1
Has abstractyes

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