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Record W1991253877 · doi:10.2118/61320-ms

Indicators for Sustainable Development

2000· article· en· W1991253877 on OpenAlex

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueSPE International Conference on Health, Safety and Environment in Oil and Gas Exploration and Production · 2000
Typearticle
Languageen
FieldEngineering
TopicReservoir Engineering and Simulation Methods
Canadian institutionsGRi Simulations (Canada)
Fundersnot available
KeywordsProcess (computing)Process managementSustainable developmentFacilitatorOpenness to experienceComputer scienceManagement processKnowledge managementBusinessEngineeringOperations managementManagement systemPolitical science

Abstract

fetched live from OpenAlex

Abstract In 1996 Statoil, Amoco, BP, Conoco and Shell wished to benchmark how companies in the oil business deal with the issues of the environment and sustainable development. The initial conclusion was that a methodology or process had to be developed first. It was decided that the principle focus of the process should be the management systems that each company had in place and the sharing of best practice. A four year journey of discovery began. The process included the following elements: an agreement on assessing sustainable development through a process of mutual learning an agreement based on trust and openness to enable learning definition of relevant sustainable development indicators along the value chain a description of an implementation chain for management processes measuring management processes comparing and discussing results of measurement using case studies to modify and/or verify indicator definitions used in the process. GRI, Gothenburg Research Institute acted as facilitator and was primarily responsible for the format and organisation of the many project meetings. In 1997 the process that included what we called "Environmental Management Indicators" (EMI) for the oil industry was concluded. A final report was prepared, discussed and agreed upon. However, this final report became the first phase in applying the same process to consider the sustainable development issue. This second phase was more difficult and ambiguous, compared with the environmental management indicator exercise. No ready-made standards are available with regard to the definition and measurement of Corporate Social Responsibility. Although there is some more or less theoretical literature at hand, this literature is of relatively little use when it comes to definitions and measurement of management systems that deal with sustainability issues on a company level, specifically in the oil industry. Much effort went into defining indicators, measurements and profiles for single indicators and the management systems that control sustainable development issues in the companies. The exercise resulted in a methodology and a set of indicators for assessing a company's management of sustainable development, which probably is in the forefront of the development in this area. The process has been extremely interesting and proved valuable but there is still room for improvement. The benefits of this methodology have included: learning from the sharing of best practice providing a framework for discussions with others assessing where a company's strengths and gaps are

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)0.000
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: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.849
Threshold uncertainty score0.378

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
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 head0.033
GPT teacher head0.274
Teacher spread0.241 · 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