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Record W1865847282 · doi:10.7202/800711ar

Trois bicentenaires : Hume, Condillac, Smith. Adam Smith entre le marginalisme et le marxisme

2009· article· en· W1865847282 on OpenAlexaffvenue
Gérard-R. Pelletier

Bibliographic record

VenueL Actualité économique · 2009
Typearticle
Languageen
FieldSocial Sciences
TopicPolitical Economy and Marxism
Canadian institutionsUniversité de Sherbrooke
Fundersnot available
KeywordsAdam smithValue (mathematics)Labor theory of valueValue theoryPhilosophyNormativePositive economicsNeoclassical economicsEconomicsEpistemologyMathematics

Abstract

fetched live from OpenAlex

It is not easy to understand why, and how, orthodox economists who do not believe either in the labor-theory or in the cost-theory of value, continue to favor Adam Smith's Wealth of Nations, but forget such economists as Condillac, whose value theory is nearer to theirs and whose bicentenary we also commemorate. Adam Smith, it is submitted, is still interesting but for reasons far enough from orthodox economic theory. Smith is in fact, according to some recent interpretations, more of a welfare economist, concerned with moral values, than a partial analysis economist: his theory of value derives from ethical considerations following Hume and keeps its normative flavor throughout instead of being solely a tentative explanation of prices. Some apparently contradictory assertions about value could thus be reconciled in a unifying theory, as explained by such authors as Lindgren (1973) or Rieseman (1976). If it is possible to reconcile many apparently contradictory views in Adam Smith's works, thanks to a more holistic approach, it is suggested that a similar approach could be applied to a more controversial economist, Karl Marx, whose career may be compared to that of Smith in many respects.

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)0.001
metaresearch head score (Gemma)0.006
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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.025
Threshold uncertainty score0.084

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.006
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.002
Science and technology studies0.0050.006
Scholarly communication0.0050.007
Open science0.0010.002
Research integrity0.0050.008
Insufficient payload (model declined to judge)0.0250.007

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 head0.027
GPT teacher head0.274
Teacher spread0.248 · 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

Citations1
Published2009
Admission routes2
Has abstractyes

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