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Record W4281685656 · doi:10.18280/ijsdp.170311

Sustainability and Triple Bottom Line Planning in Social Enterprises: Developing the Guidelines for Social Entrepreneurs

2022· article· en· W4281685656 on OpenAlex
Mir Shahid Satar

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.

venuePublished in a venue whose home country is Canada.
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

VenueInternational Journal of Sustainable Development and Planning · 2022
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicInnovation and Socioeconomic Development
Canadian institutionsnot available
Fundersnot available
KeywordsTriple bottom lineSustainabilityKnowledge managementProcess managementSocial entrepreneurshipEntrepreneurshipBusinessContext (archaeology)Process (computing)AccountabilitySocial sustainabilityProtocol (science)Systematic reviewComputer sciencePolitical scienceMEDLINEMedicine

Abstract

fetched live from OpenAlex

The article aims to discuss why and how the triple bottom line (TBL) approach can be adapted to manage the sustainability performance in social enterprises and thus assist the social entrepreneurs, who hold the central position in the process of social enterprise development. A system model based on design models such as the "Design of Results" and the "Cogniscope" was produced through the synthesis of multiple conceptual approaches following a systematic review protocol guided by the PRISMA Statement (‘‘Preferred Reporting Items for Systematic Reviews and Meta-Analyses’’). While extending the CogniScope' systems theory and practice in the context of S-ENT accountability, the article proposes the four phases (discovery, diagnosis and design, implementation, and measurement) for planning and organizing TBL efforts within social enterprises. The outcomes of the study will aid the S-ENT practitioners in the design and implementation of TBL framework in managing the sustainability performance of social entrepreneurship ventures. The applicability of the TBL approach can be explored and developed by subsequent work in different social entrepreneurship contexts.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.524
Threshold uncertainty score0.763

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0010.000
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 head0.048
GPT teacher head0.322
Teacher spread0.274 · 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