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Record W2105853435 · doi:10.3390/h3010073

“Imagining What We Know”: The Humanities in a Utilitarian Age

2014· article· en· W2105853435 on OpenAlexaff
Paul Keen

Bibliographic record

VenueHumanities · 2014
Typearticle
Languageen
FieldEnvironmental Science
TopicScience and Climate Studies
Canadian institutionsCarleton University
Fundersnot available
KeywordsReflexivityRetrenchmentNarrativeValue (mathematics)SociologyFace (sociological concept)SituatedHumanitiesAestheticsEnvironmental ethicsPolitical scienceSocial scienceArtPhilosophy

Abstract

fetched live from OpenAlex

This paper explores the ways that critics writing in the early nineteenth century developed arguments in favor of what we think of today as the humanities in the face of utilitarian pressures that dismissed the arts as self-indulgent pursuits incapable of addressing real-world problems. Its focus reflects the extent to which the financial crisis in our own day has manifested itself in a jarring shift in research priorities towards applied knowledge: a retrenchment which has foregrounded all over again the question of how to make the case for the value of the humanities. These problems, however, also constitute an important opportunity: a chance to re-imagine our answers to questions about the nature and role of the humanities, their potential benefits to contemporary life, and how we might channel these benefits back into the larger society. The good news is that in many ways, this self-reflexive challenge is precisely what the humanities have always done best: highlight the nature and the force of the narratives that have helped to define how we understand our society—its various pasts and its possible futures—and to suggest the larger contexts within which these issues must ultimately be situated. History repeats itself, but never in quite the same way: knowing more about past debates will provide a crucial basis for moving forward as we position themselves to respond to new social, economic, technological, and cultural challenges during an age of radical change.

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)0.040
metaresearch head score (Gemma)0.027
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 score0.040
Threshold uncertainty score0.213

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0400.027
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0050.003
Science and technology studies0.0170.186
Scholarly communication0.0260.039
Open science0.0020.015
Research integrity0.0090.019
Insufficient payload (model declined to judge)0.0040.001

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 head0.050
GPT teacher head0.247
Teacher spread0.196 · 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

Citations8
Published2014
Admission routes1
Has abstractyes

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