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Social Intermediation in Base‐of‐the‐Pyramid Markets

2012· article· en· W2137312153 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

VenueJournal of Management Studies · 2012
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicInnovation and Socioeconomic Development
Canadian institutionsWestern University
Fundersnot available
KeywordsIntermediationOpportunismPyramid (geometry)IntermediaryDatabase transactionFinancial intermediaryMediationBusinessAllocative efficiencyEconomicsMicroeconomicsSociologyMarketingMarket economyFinanceComputer science

Abstract

fetched live from OpenAlex

Abstract Our study explores the structuring decisions made by intermediaries seeking to alleviate poverty by connecting base‐of‐the‐pyramid markets with more developed markets. Using intermediation theory to ground our study, we collected qualitative data on 29 social intermediation projects located within L atin A merica, A frica, and A sia. Our findings suggest that ‘socializing’ intermediation theory to more accurately explain and predict structural outcomes across more diverse contexts requires three key modifications: (1) the attenuation of opportunism, which creates an internalizing social force; (2) the accommodation of non‐monetary objectives, which creates an externalizing social force; and (3) the perception of transaction capabilities as tractable, which serves as a guidepost for reconciling these two opposing social forces.

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)0.001
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 score0.234

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 head0.033
GPT teacher head0.275
Teacher spread0.242 · 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