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Record W4401075406 · doi:10.5206/mfds-ecfw.v9i1.19627

How to Narrate History to Inspire a Better Future

2024· article· en· W4401075406 on OpenAlexvenueno aff
Rachel K. Carnell

Bibliographic record

VenueLe Monde français du dix-huitième siècle · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicAmerican Constitutional Law and Politics
Canadian institutionsnot available
Fundersnot available
KeywordsHumanityDreamState (computer science)AestheticsHistoryEnvironmental ethicsTasteArt historySociologyArtLawPolitical sciencePhilosophyPsychology

Abstract

fetched live from OpenAlex

As a reader with a taste for sweeping accounts of human history that provide insight into how we got to our present moment and how we might ameliorate the current state of humanity, I remain intrigued by Graeber and Wengrow’s larger dream that humans today could govern themselves more imaginatively. I also am deeply grateful to the contributors to this special issue for illuminating Rousseau’s prior yet in some ways more sophisticated philosophical critique of Western culture. I am further appreciative of the crucial historical contexts—from seventeenth-century France to nineteenth-century Massachusetts (with student responses from twenty-first-century Cleveland, Ohio and Baton Rouge, Louisiana)—offered in the following essays, contexts that provide granular detail that will allow us to continue to explore and reflect on the barriers to humanity’s unrealized potential.

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 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)0.000
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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.792
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.001

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 head0.012
GPT teacher head0.237
Teacher spread0.225 · 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 teacher head, not a consensus.

Study designNot applicable
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
Published2024
Admission routes1
Has abstractyes

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