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Wolff’s Science of Teleology and Kant’s Critique

2019· article· fr· W2975709762 on OpenAlexaff
Nabeel Hamid

Bibliographic record

VenueErgo an Open Access Journal of Philosophy · 2019
Typearticle
Languagefr
FieldArts and Humanities
TopicPhilosophical Ethics and Theory
Canadian institutionsConcordia University
Fundersnot available
KeywordsTeleologyPhilosophyChemistryEpistemology

Abstract

fetched live from OpenAlex

This essay examines Wolff's science of teleology, which has historically been dismissed as a crude physico-theology resting on a simple confusion between uses and purposes. Focusing especially on his two German volumes (German Teleology, 1723, and German Physiology, 1725), I argue that, first, Wolff never intended teleology to be a self-standing theology; and second, that teleology, as a part of physics, is primarily an applied or practical discipline. In its theological function, teleology presupposes the ontological and cosmological arguments for the being and attributes of God rendered in rational theology. As a part of physics, meanwhile, teleology presupposes the inert-mechanical view of nature which had emerged in the seventeenth century, and builds upon mechanistic physics by providing a perspective on nature as consisting of relations of benefit and advantage. The physiological part of teleology, or the study of plant and animal bodies, occupies a special place, for which Wolff deploys notions of health and sickness consistent with the mechanistic physics he accepts. With this in view, I argue that Wolff's teleology could not be the proper target of Kant's critique of physico-theology. Yet, there remain deeper differences between Wolff and Kant on the topic, which have to do with the sources and limits of teleological reasoning in general.

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

Direct model labels (unvalidated)

Per-model category and study-design labels from the labeling rounds. They are machine output, unvalidated, and the disagreement between models ships as data. No study design here is MEDLINE-validated yet.

Model armCategoriesStudy designConfidence
gemmano category
Domain: not available · Genre: Empirical
About the Canadian research system: no · About a Canadian topic: no
Theoretical or conceptuallow
gptno category
Domain: not available · Genre: Empirical
About the Canadian research system: no · About a Canadian topic: no
Theoretical or conceptualmedium
models agreeAgreement compares identical category sets and study designs across arms.

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)0.004
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.129
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0010.006
Scholarly communication0.0020.008
Open science0.0050.002
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0050.000

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 head0.127
GPT teacher head0.417
Teacher spread0.290 · 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

Labeled directly by 2 models reading the full record.

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
Published2019
Admission routes1
Has abstractyes

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