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Record W4417500035 · doi:10.61173/xakvmc26

Coordination and Conflict: Environmental Sustainability Goals vs. Capitalist Development Goals in Amazon’s 2021-2022 Reports

2025· article· W4417500035 on OpenAlex
Xiaoshun LI

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

VenueFinance & Economics · 2025
Typearticle
Language
FieldBusiness, Management and Accounting
TopicCorporate Social Responsibility Reporting
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsSustainabilitySustainable developmentCorporate sustainabilityShareholderProfit (economics)Capital (architecture)Environmental impact assessment

Abstract

fetched live from OpenAlex

Against the backdrop of escalating global environmental challenges and the United Nations’ advancement of the Sustainable Development Goals (SDGs), capitalist development goals are often perceived as conflicting with environmental sustainability. This paper examines Amazon as a case study to explore the potential for reconciling environmental goals with capitalist development goals within corporate practices. Results indicate that while substantial capital expenditures and rising operational costs exert short-term pressure on profit margins, these impacts are partially offset long-term benefits. This demonstrates that environmental sustainability goals and capitalist growth objectives can coexist in harmony. The primary tension stems from the conflict between corporate upfront investments in environmental protection and shareholder return expectations. This study is limited to a single case and relies on publicly available company data.

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)0.003
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.210
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0010.002
Open science0.0000.001
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 head0.007
GPT teacher head0.221
Teacher spread0.214 · 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