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Record W2609216874 · doi:10.1080/15423166.2017.1281754

Building Sustainable Peace through Business Linkages among Micro-Entrepreneurs: Case Studies of Micro-Enterprises in the North of Sri Lanka

2017· article· en· W2609216874 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.

fundA Canadian funder is recorded on the work.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueJournal of Peacebuilding & Development · 2017
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicInnovation and Socioeconomic Development
Canadian institutionsnot available
FundersUniversity of Waterloo
KeywordsPeacebuildingEntrepreneurshipSri lankaGlobeSustainable developmentBusinessSmall businessSocial entrepreneurshipEconomic growthPolitical scienceEconomic systemMarketingEnvironmental planningEconomicsGeographyPublic administration

Abstract

fetched live from OpenAlex

Literature on peacebuilding emphasises the need for stakeholders at all levels of society to be engaged in the peace and reconciliation process for peace to be sustainable. Policy-makers around the globe strategically employ entrepreneurship, particularly self-employment and small enterprises development, to economically empower the communities in post-conflict areas. At the same time, researchers in the fields of entrepreneurship and small enterprise development have identified ‘networking’ as an important factor for the success of entrepreneurs. This paper examines the role played by business linkages among micro-entrepreneurs and its contribution to sustainable peacebuilding, including the development of business and social linkages among entrepreneurs from the North of Sri Lanka.

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)0.002
metaresearch head score (Gemma)0.001
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 score0.109
Threshold uncertainty score0.909

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0010.000
Scholarly communication0.0000.002
Open science0.0010.001
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 head0.031
GPT teacher head0.291
Teacher spread0.260 · 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