MétaCan
Menu
Back to cohort
Record W4399213854 · doi:10.1080/10509585.2024.2344882

The March of Mind: Knowledge Mobilization in the 1820s

2024· article· en· W4399213854 on OpenAlex

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

VenueEuropean Romantic Review · 2024
Typearticle
Languageen
FieldArts and Humanities
TopicHistory of Science and Natural History
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsMobilizationAestheticsPolitical scienceEpistemologyPhilosophyLaw

Abstract

fetched live from OpenAlex

The phrases “march of mind” and “march of intellect” proliferated in late-Romantic discourse, especially during the 1820s when they were associated with the interventions of the Society for the Diffusion of Useful Knowledge (SDUK). The SDUK’s promotion of educational and moral betterment for the working classes, among other things through the publication and circulation of cheap reading material, was associated both seriously and satirically with a progressive “march of intellect.” This phrase provokes questions about individual and collective agency and responsibility: whose intellect is marching, where to, and to the beat of whose drum? Poets, novelists, journalists, and illustrators appropriated the “march of mind” trope so as to open up alternative perspectives on the direction, speed, extent, and inclusiveness or exclusiveness of knowledge mobilization during the 1820s. This essay explores their creative and entertaining responses to the “march,” and thereby considers how we might approach this aspect of late-Romantic culture through a combination of literary-cultural studies, book history, and mobility studies.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.802
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
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)0.0000.001

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 head0.047
GPT teacher head0.284
Teacher spread0.237 · 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