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Record W4404338951 · doi:10.33423/jabe.v26i5.7350

Institutionalist Thought: Ceremonial-Instrumental Dichotomy of the Veblen-Ayres Tradition

2024· article· en· W4404338951 on OpenAlexvenueno aff
Caroline de Oliveira Orth, Fabiano Coelho, Marlla de Oliveira Feitosa, Clea Beatriz Macagnan

Bibliographic record

VenueJournal of Applied Business and Economics · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicSociology and Education in Brazil
Canadian institutionsnot available
Fundersnot available
KeywordsVeblen goodEpistemologyPositive economicsSociologySocial scienceNeoclassical economicsPhilosophyEconomics

Abstract

fetched live from OpenAlex

Veblen and Ayres’ ceremonial-instrumental dichotomy is considered the analytical core of Old Institutional Theory (OIT). This view offers a distinct perspective for analyzing economic issues. The object of economics is studied at the level of cultural generalization, not individual generalization (as neoclassicists do). Human behavior is understood as a process of cumulative adaptation to contextual circumstances. Thus, understanding the meaning of the dichotomy – of doing things and making social distinctions, and of its application to illuminate modern economic problems – deserves attention. This systematic literature review describes the main theoretical, analytical, methodological, and empirical contributions to the ceremonial-instrumental dichotomy of the Veblen-Ayres tradition. To this end, articles on the topic published in the last 46 years were reviewed, which resulted in the analysis of 45 articles, which can be classified as a) conceptual b) methodological; c) empirical, and d) literature reviews. This body of analysis provided insights that lead to inferring the possibility of research in different fields of social sciences.

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)0.009
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 score0.030

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.009
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0020.017
Scholarly communication0.0070.006
Open science0.0010.003
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0030.000

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 head0.018
GPT teacher head0.266
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

Citations0
Published2024
Admission routes1
Has abstractyes

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Same venueJournal of Applied Business and EconomicsSame topicSociology and Education in BrazilFrench-language works237,207