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Record W2153726786 · doi:10.1017/s1479244314000250

SCALES OF TIME AND THE ANTICIPATION OF THE FUTURE: GIBBON, SMITH, PLAYFAIR

2014· article· en· W2153726786 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

VenueModern Intellectual History · 2014
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicHistorical Economic and Social Studies
Canadian institutionsConcordia University
Fundersnot available
KeywordsTemporalitiesAnticipation (artificial intelligence)HistoryAdam smithScale (ratio)TemporalityComputer scienceEpistemologyPhilosophyGeographyEconomicsCartographyPolitical scienceArtificial intelligenceLawNeoclassical economics

Abstract

fetched live from OpenAlex

This essay shows how Adam Smith addressed concerns about economic decline not only by proposing quantifiable categories through which relative decline could be measured, but also by characterizing the century as the proper timescale in which such quantities could be observed. What sometimes appears up close to be a process of decline and fall, Smith suggested, could, with a shift to a more distant long view, be explained instead as part of a normal business cycle. William Playfair then used Smith's emphasis on quantification to develop elaborate graphic techniques—what we now call the time-series line graph and the pie chart—to visualize more easily the patterns Smith sought to identify. Collectively, the reordering of temporal scale by Smith and Playfair helps us to rethink not only discourses of decline, but also our understanding of the temporalities of political economy as a problem of historical distance that needs to be thought about beyond temporal terms.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.789
Threshold uncertainty score0.265

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 studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.017
GPT teacher head0.173
Teacher spread0.155 · 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