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Record W1984663208 · doi:10.2202/1469-3569.1011

Business Associations and Economic Development: Why Some Associations Contribute More Than Others

2000· article· en· W1984663208 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueBusiness and Politics · 2000
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicCorporate Finance and Governance
Canadian institutionsScience North
Fundersnot available
KeywordsMediationProperty rightsBusinessGovernment (linguistics)Industrial organizationEmpirical researchPublic economicsEconomic systemEconomicsMicroeconomicsPolitical science

Abstract

fetched live from OpenAlex

Most current theoretical treatments view business associations as rent-seeking, special interest groups. Yet, empirical research in a wide range of developing countries reveals a broad range of functions and activities undertaken by business associations, many of which promote efficiency. These positive functions address crucial development issues (emphasized in the New Institutional Economics) such as strengthening property rights, facilitating vertical and horizontal coordination, reducing information costs, and upgrading worker training. The associations that engage in these developmental activities tend to be well organized and staffed. This institutional strength depends in turn on high member density, valuable selective benefits (often delegated by governments), and effective internal mediation of member interests. In addition external factors, especially competitive markets and government pressure, encourage associations to use their institutional strength for productive ends.

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.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.269
Threshold uncertainty score0.864

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.014
GPT teacher head0.210
Teacher spread0.196 · 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