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Record W4402462780 · doi:10.4236/jhrss.2024.123031

Convergence, Divergence, Crossvergence: Environmental Practices of SMEs in Neighbouring Countries

2024· article· en· W4402462780 on OpenAlexaboutno aff
François Labelle, Cédric Moulet, Francisco Ernesto Navarrete Báez

Bibliographic record

VenueJournal of Human Resource and Sustainability Studies · 2024
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicCorporate Social Responsibility Reporting
Canadian institutionsnot available
Fundersnot available
KeywordsDivergence (linguistics)Convergence (economics)Economic geographyGeographyEconomicsEconomic growth

Abstract

fetched live from OpenAlex

This article aims to verify whether free trade agreements can play a role in the diffusion and adoption of Sustainable Development (SD). Taking the North American Free Trade Agreement (NAFTA) as the context of the study and the Small and Medium Enterprises (SMEs) as the unit of analysis, we selected Jalisco and Quebec—two regions resulting from this agreement but different in their national particularities. We posited three groups of general hypotheses from the debate—convergence, divergence and crossvergence—and tested the two groups on sustainable practices and the business case. Our results show a phenomenon of institutionalization SMEs accentuated in the “South”, confirming the influence of regional institutions as a legitimizing factor but also the weight of national institutions, thus invalidating the weight of multilateral agreements in influencing companies in their design of SD.

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)0.003
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.052
Threshold uncertainty score0.103

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.010
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.003
Science and technology studies0.0020.002
Scholarly communication0.0020.001
Open science0.0000.003
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 head0.028
GPT teacher head0.326
Teacher spread0.298 · 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

Citations1
Published2024
Admission routes1
Has abstractyes

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