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Record W3114306179 · doi:10.5430/ijba.v12n1p29

Technological Innovations in Brazil - Public Contract Legislation - A New Dimension of Sustainable Development

2020· article· en· W3114306179 on OpenAlexvenueno aff
Luciana Fabiano, Marlene Valério dos Santos Arenas, Rafael Vicente Martins dos Reis, Lucas Rommel de Souza Neves

Bibliographic record

VenueInternational Journal of Business Administration · 2020
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicPublic Procurement and Policy
Canadian institutionsnot available
Fundersnot available
KeywordsBiddingLegislationSustainabilitySustainable developmentTechnological changeProcurementDimension (graph theory)BusinessIndustrial organizationEconomicsMarketingLawPolitical science

Abstract

fetched live from OpenAlex

The study discusses the elements of technological innovation present in Law 8.666/1993 that can be considered promoters of sustainable development through public procurement. The research aims to identify elements related to “technological innovation” present in Law 8.666/1993, a public administration bidding law in Brazil, in comparison with its elements of “sustainability”, which can be considered propellants of sustainable development. Based on the contribution of the bibliographic references that deal with sustainability and technological innovations, it analyzes the importance of technology in bidding as a promoter of sustainable development. It is an exploratory study; the research is bibliographic, and the method of analysis is documentary, with content analysis. The results show an elevated index of elements regarding “technological innovations” present in the text of the current legal basis, when compared to the number of elements on “sustainable development” present in the same legislation. This study proposes the consideration of technological innovation as a dimension of sustainable development, driven by Law 8.666/1993, in view of the high content of referents to technological innovation present in its text.

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)0.005
metaresearch head score (Gemma)0.016
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.027
Threshold uncertainty score0.078

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.016
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0040.006
Science and technology studies0.0030.006
Scholarly communication0.0040.004
Open science0.0010.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.039
GPT teacher head0.281
Teacher spread0.242 · 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 designNot applicable
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
Published2020
Admission routes1
Has abstractyes

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