MétaCan
Menu
Back to cohort
Record W4391683698 · doi:10.55905/oelv22n2-058

The presence of sustainability pillars in social impact businesses

2024· article· en· W4391683698 on OpenAlexaff
Ana Flávia De Oliveira, Cibele Roberta Sugara, Denise Helena Lombardo Ferreira, Duarcides Ferreira Mariosa, Samuel Carvalho De Benedicto, Orandi Mina Falsarella

Bibliographic record

VenueOBSERVATÓRIO DE LA ECONOMÍA LATINOAMERICANA · 2024
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicCommunity Development and Social Impact
Canadian institutionsImpact
Fundersnot available
KeywordsSustainabilityBusinessSocial sustainabilitySocial enterpriseCorporate social responsibilityBusiness administrationPolitical sciencePublic relations

Abstract

fetched live from OpenAlex

The present study addressed aspects of the three pillars of sustainability in Social Impact Businesses, with the purpose of evaluating the contributions of the economic, social, and environmental dimensions to this type of enterprise, and thus meeting the objective of consolidating them in the market. To this end, it resorted to the methodological support of the qualitative, descriptive, and bibliographic and documentary approach. The result obtained with the study suggests that the three dimensions of sustainability add value to Social Impact Businesses, since these enterprises, even though they operate according to market logic, contribute to improving the lives of the population and the environment. Additionally, through the products or services they offer, they fulfill their socio-environmental purpose, directly acting in compliance with the Sustainable Development Goals. From this perspective, the study aims to contribute to the solidification of Social Impact Businesses, serve as a basis for future research, and add knowledge to all those interested in the discussion of the topic.

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.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.006
metaresearch head score (Gemma)0.010
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.011
Threshold uncertainty score0.030

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.010
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0060.007
Science and technology studies0.0040.016
Scholarly communication0.0110.006
Open science0.0010.008
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.030
GPT teacher head0.307
Teacher spread0.278 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2024
Admission routes1
Has abstractyes

Explore more

Same venueOBSERVATÓRIO DE LA ECONOMÍA LATINOAMERICANASame topicCommunity Development and Social ImpactFrench-language works237,207