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Record W1605700367 · doi:10.1002/sej.1173

Connecting Poverty to Purchase in Informal Markets

2014· article· en· W1605700367 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

VenueStrategic Entrepreneurship Journal · 2014
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicInnovation and Socioeconomic Development
Canadian institutionsYork University
Fundersnot available
KeywordsPurchasingBusinessPovertySample (material)MarketingWork (physics)Function (biology)Complement (music)Informal sectorIndustrial organizationEconomicsEconomic growth

Abstract

fetched live from OpenAlex

B ase‐of‐the‐ P yramid ( BoP ) enterprises seek to serve impoverished customers in informal markets. While BoP enterprises have grown in prominence, comparatively little multidimensional theoretical work has explored why these customers ultimately elect to purchase their products. Using a sample of 555 potential customers in rural I ndia, our results indicate that the influence of different dimensions of poverty on likelihood of purchase is largely a function of the strength of the formal institutional environment. Specifically, stronger formal institutional environments can act as both a complement to, and a substitute for, the influence of individual‐ and network‐level norms on purchasing decisions in informal markets. Copyright © 2014 Strategic Management Society.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.476
Threshold uncertainty score1.000

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 communication0.0010.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.024
GPT teacher head0.235
Teacher spread0.211 · 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