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Record W1997259219 · doi:10.2118/168457-ms

Practical Guidance on Biodiversity Risk Assessments

2014· article· en· W1997259219 on OpenAlex
Karl Fennessey, Wilfred Staudt, I Nyoman Mangku Suryana

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 · 2014
Typearticle
Languageen
FieldEnvironmental Science
TopicConservation, Ecology, Wildlife Education
Canadian institutionsConocoPhillips (Canada)
Fundersnot available
KeywordsBiodiversityBusinessPosition (finance)Environmental resource managementEnvironmental planningEcosystem servicesEcosystemEnvironmental scienceEcology

Abstract

fetched live from OpenAlex

Abstract Biodiversity and Ecosystems Services are critical in maintaining ecosystem health and human well-being and protecting plant and animal species and ecosystems where we operate is an essential component of our health, safety, and environmental commitment. This paper will show the parallel evolution of the industry understanding and the corresponding development of the ConocoPhillips’ biodiversity position, commitments, strategy and actions designed to conserve biodiversity as part of our commitment to reduce the effects of our activities on the environment. The discussion will highlight some key business results, business practices, processes and tools we use to assess impacts, track plans and implement our Biodiversity Position. The paper will cover Development of Biodiversity Action Plans for operated assets and projects located in areas of high conservation value.Use of widely available and effective planning tools such as those developed by lPlECA, Energy and Biodiversity Initiative, and the International Association of Oil and Gas Producers to facilitate biodiversity conservation.Consideration of targeted opportunities for habitat improvement, including projects for rehabilitation.Collaboration with key stakeholders to increase capacity for biodiversity protection, internally and in related institutions and communities. This presentation will show how the company works individually and through industry consortiums to build awareness and responsiveness to this issue.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.651
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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)0.0050.002

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 head0.058
GPT teacher head0.344
Teacher spread0.286 · 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