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Record W2982425552

Sustainable Development and Hydroelectric

2019· book· en· W2982425552 on OpenAlexaboutno aff
Kalink Shangred Almeida

Bibliographic record

VenueScholars' Press eBooks · 2019
Typebook
Languageen
FieldMedicine
TopicBiotechnology and Related Fields
Canadian institutionsnot available
Fundersnot available
KeywordsHydroelectricitySustainabilitySustainable developmentWork (physics)Triple bottom lineBusinessCorporate governanceCorporate social responsibilityProcess managementEnvironmental economicsRegional sciencePolitical scienceEngineeringEconomicsGeographyPublic relationsFinance
DOInot available

Abstract

fetched live from OpenAlex

This book seeks to contribute to a broader understanding of what sustainable development is and how it is assessed from a triple botton line (economic, environmental and social) perspective, from a representative organization, Holding Eletrobras SA, which represents the bulk of the matrix. Brazil is a relevant international company in the hydroelectric sector. This paper presents an analysis of a series of sustainability reports covering the period from 2008 to 2014, from two hydroelectric companies, Holding Eletrobras SA. and Hydro-Quebec of Canada, both internationally expressed organizations, located in countries at different stages of development and being companies with different governance models and organizational structure. The main original contribution of the work is to show through this content analysis the report's virtualities and limitations, elaborated according to the guidelines of the Global Reporting Initiative (GRI), for the inter-temporal and inter-organizational evaluation and comparison of the sustainable performance of the organizations. introduce solutions to encourage companies to promote sustainable performance.

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)0.000
metaresearch head score (Gemma)0.001
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: Other · Consensus signal: Other
Teacher disagreement score0.023
Threshold uncertainty score0.077

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0010.002
Scholarly communication0.0030.002
Open science0.0000.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0230.006

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 head0.011
GPT teacher head0.227
Teacher spread0.216 · 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
GenreOther

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
Published2019
Admission routes1
Has abstractyes

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