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Record W2406239785 · doi:10.1177/1474885114543572

Two concepts of liberal developmentalism

2015· article· en· W2406239785 on OpenAlexaff
Inder S. Marwah

Bibliographic record

VenueEuropean Journal of Political Theory · 2015
Typearticle
Languageen
FieldSocial Sciences
TopicPolitical Philosophy and Ethics
Canadian institutionsMcMaster University
Fundersnot available
KeywordsDevelopmentalismEnlightenmentLiberalismMillIdealismPoliticsRomanticismPhilosophyEnvironmental ethicsEpistemologyCultural imperialismHistoricismPolitical philosophyClassical liberalismSociologySocial scienceAestheticsLawPolitical scienceHistoryArt history

Abstract

fetched live from OpenAlex

“Developmentalism” is often regarded as the bête noire haunting liberal political theory, justifying modern civilizational hierarchies and liberal imperialism. But are all developmentalisms equally tied to Eurocentric, imperialist philosophies? I consider this question through a close reading of two of the most prominent, influential, and divisive modern accounts of historical development: those of Kant and J. S. Mill. I argue that Kant's philosophy of history is embedded in an Enlightenment idealism treating non-Europeans as bound to either adopt Western norms or fade into obscurity. Conversely, the influences of Romanticism and sociology led Mill to recognize cultural differences as indelibly affecting any society's development. Given this, I argue, against much of the current literature, (1) that Mill provides us with a significantly more capacious liberalism than Kant's; (2) that his developmentalism holds the conceptual resources to understand progress as a pluralistic and culturally differentiated process; and so, more broadly, (3) that not all liberal developmentalisms are equally bound to imperialist politics.

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)0.005
metaresearch head score (Gemma)0.011
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 score0.007
Threshold uncertainty score0.052

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.011
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0020.001
Science and technology studies0.0030.037
Scholarly communication0.0060.007
Open science0.0010.007
Research integrity0.0030.008
Insufficient payload (model declined to judge)0.0060.001

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 head0.102
GPT teacher head0.387
Teacher spread0.286 · 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

Citations18
Published2015
Admission routes1
Has abstractyes

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