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General Motors Corporation (Canada)

2003· book-chapter· de· W15997404 on OpenAlexaffabout
Jerome Hoog, Anshuman Khare

Bibliographic record

VenueDeutscher Universitätsverlag eBooks · 2003
Typebook-chapter
Languagede
FieldEnvironmental Science
TopicEnvironmental Impact and Sustainability
Canadian institutionsAthabasca UniversityGeneral Motors (Canada)
Fundersnot available
KeywordsAutomotive industryCompetitor analysisBusinessStakeholderTruckCorporationProduct (mathematics)AccountabilityCorporate social responsibilityIndustrial organizationGeneral motorsPublic disclosureEnvironmental economicsEngineeringMarketingEconomicsFinanceManagementAutomotive engineeringEcology

Abstract

fetched live from OpenAlex

An OverviewThis paper reviews the global environmental performance of General Motors Corporation (GM), as publicly reported. GM has a global presence in automotive manufacturing and other non-automotive business interests. GM’s products and facilities play a contributing role in the ecological footprint due to its global market presence.GM’s environmental reporting is based on the CERES (Coalition for Environmentally Responsible Economies) principles. CERES is a coalition of environmental, investor and advocacy groups, which have a mutual interest in a sustainable future. Environmental performance elements reviewed are public accountability, plant performance, product performance and stakeholder relationships.GM’s global performance can be summarized as being above expectations in the areas of public accountability, plant performance, and stakeholder relationships. Alternatively, GM is considered to be below expectations with its product's average fuel economy performance in North America. While the model-by-model performance has improved, the overall fleet has not improved since 1994 due to a market shift from passenger cars to less fuel-efficient SUV’s and personal use trucks. Unlike competitors Toyota and Honda, GM does not have a small fuel-efficient hybrid passenger car. These hybrid products provide the ability to improve the average fuel economy rating for a manufacturer.

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 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 categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.758
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0160.001

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 head0.010
GPT teacher head0.178
Teacher spread0.168 · 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; both teacher heads agree on what is shown here.

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
Published2003
Admission routes2
Has abstractyes

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