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Record W3028249838 · doi:10.25162/sl-2018-0001

Introduction. Einleitung

2018· article· de· W3028249838 on OpenAlexaff
Raphaële Andrault, Christian Leduc

Bibliographic record

VenueStudia Leibnitiana · 2018
Typearticle
Languagede
FieldArts and Humanities
TopicHistorical Philosophy and Science
Canadian institutionsUniversité de Montréal
Fundersnot available
KeywordsTeleologyPhilosophyMetaphysicsEpistemologyDoctrineHarmony (color)Articulation (sociology)TheologyPhysicsLawPolitics

Abstract

fetched live from OpenAlex

The importance of teleology in the 18th century has mainly been studied from the point of view of a few specific authors. Leibniz is one of the most convinced advocates of the use of final causes in both physics and metaphysics. Despite its significance for the history of teleology, very few studies were in fact devoted to the influence of the Leibnizian doctrine during the 18th century. However, Leibniz’s reception allows us not only to understand his own views on teleology in comparison with those that 18th century thinkers attributed to him, but also to feed the conceptual debate on the legitimate articulation of finality and efficiency in natural philosophy in that period. Consequently, studies on 18th century physico-theology may help us to clarify the following questions: what is the difference between explanations concerning organic functions and in the architectonic use of the principle of optimum in physics? And how exactly do “the details of physics” illustrate the general harmony of the world? In order to clarify these kinds of questions, the present issue explores how Leibniz’s 18th century readers integrated in their own philosophical doctrines multiple interpretative possibilities opened up by Leibniz’s texts.

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)0.003
metaresearch head score (Gemma)0.007
Version: metacan-v3-hybrid-931329e0061cValidation 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: Other · Consensus signal: Other
Teacher disagreement score0.336
Threshold uncertainty score0.947

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.007
Meta-epidemiology (narrow)0.0040.001
Meta-epidemiology (broad)0.0030.002
Bibliometrics0.0050.005
Science and technology studies0.0030.002
Scholarly communication0.0090.009
Open science0.0030.009
Research integrity0.0040.010
Insufficient payload (model declined to judge)0.3360.293

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 head0.035
GPT teacher head0.239
Teacher spread0.204 · 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.

Study designNot applicable
Domainnot available
GenreOther

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

Citations2
Published2018
Admission routes1
Has abstractyes

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