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Indoctrinated Developmentalism and Local Sustainability: A Social-Ecological Model for Community-Based Enterprises

2025· preprint· en· W4407776929 on OpenAlexfundno aff
A. K. M. Shahidullah

Bibliographic record

VenuePreprints.org · 2025
Typepreprint
Languageen
FieldBusiness, Management and Accounting
TopicInnovation and Socioeconomic Development
Canadian institutionsnot available
FundersMemorial University of NewfoundlandCentre for Economic Policy Research
KeywordsDevelopmentalismSustainabilityEcologyPolitical scienceEconomic systemSociologyEnvironmental resource managementEconomicsBiologyPolitics

Abstract

fetched live from OpenAlex

Developmental approaches over time largely overlooked the local sustainability preconditions as they were inflicted with doctrines, theories, and strategies argued through macro-level, macro-scale policies. This research retrospectively viewed those approaches as they evolved since post-WWII and their effect on sustainability at a community level. The primary focus was eventually on microfinance strategy by NGOs, which led to the establishment of millions of microenterprises to develop the underdeveloped communities of developing countries. In recent decades, community-based enterprise (CBE) development has been a widely practiced mode of developmental intervention. The primary goal of the CBEs is to generate profit for livelihoods. The research indicates these CBEs have further potential to be ecologically sustainable and socially responsible. A shift in the present model is possible to make the CBEs pursuant to ecological principles. Drawing on Foucault’s notion of ‘dispositif,’ the research considers the incorporation of environmental, alongside economic and social goals, as a new strategic disposition. Therefore, the study presents a social-ecological model of CBE and asserts that it embeds the necessary components to bring about sustainability at a community level.

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)0.001
metaresearch head score (Gemma)0.001
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 score0.038

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0030.014
Scholarly communication0.0050.004
Open science0.0010.004
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.000

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 head0.116
GPT teacher head0.343
Teacher spread0.227 · 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
Published2025
Admission routes1
Has abstractyes

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Same venuePreprints.orgSame topicInnovation and Socioeconomic DevelopmentFrench-language works237,207