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Record W2083102510 · doi:10.1353/cjp.2008.0005

On the Value of Happiness: Herder contra Kant

2007· article· en· W2083102510 on OpenAlexaff
Sonia Sikka

Bibliographic record

VenueCanadian Journal of Philosophy · 2007
Typearticle
Languageen
FieldArts and Humanities
TopicPhilosophical Ethics and Theory
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsHappinessPhilosophyValue (mathematics)EpistemologyDestiny (ISS module)Tone (literature)Content (measure theory)PsychologySocial psychology

Abstract

fetched live from OpenAlex

Introduction In November of 1785, Kant published a highly unsympathetic review of the second part of Johann Gottfried Herder's Ideas for a Philosophy of the History of Mankind . Herder had once been Kant's pupil, and had greatly admired his teacher, but the content of this review shows how profound the philosophical differences between them had by then become. A central area of dispute emerging from the review concerns the nature of happiness, and its place within the ‘destiny’ or ‘vocation’ ( Bestimmung ) of the human race. Kant is responding, in particular, to a section of the Ideas entitled: ‘The happiness ( Glückseligkeit ) of human beings is everywhere an individual good; consequently, it is everywhere climatic and organic, a child of practice, tradition, and custom.’ Although Kant is not mentioned by name in this section, it clearly contains critical rejoinders, often quite harsh in tone, to aspects of his practical philosophy and philosophy of history, as Herder understands them.

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)0.005
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: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.005
Threshold uncertainty score0.029

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.002
Science and technology studies0.0020.020
Scholarly communication0.0050.007
Open science0.0010.003
Research integrity0.0050.007
Insufficient payload (model declined to judge)0.0040.001

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 head0.040
GPT teacher head0.229
Teacher spread0.189 · 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

Citations21
Published2007
Admission routes1
Has abstractyes

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