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Record W4415686428 · doi:10.1111/1911-3838.12416

TC Energy's Reaction to Indigenous Activism and Negative Media Coverage: Strategic Cosmetic Change? <sup>*</sup>

2025· article· en· W4415686428 on OpenAlexaffvenueabout
Anne Marie Gosselin, Antonello Callimaci

Bibliographic record

VenueAccounting Perspectives · 2025
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicCorporate Social Responsibility Reporting
Canadian institutionsUniversité du Québec à Montréal
Fundersnot available
KeywordsIndigenousScrutinyCorporate social responsibilityLegitimacyStakeholderDivestmentCorporate governanceCriticismEnvironmental governance

Abstract

fetched live from OpenAlex

ABSTRACT This study investigates the response of TC Energy Corporation, a major Canadian oil and gas corporation, to criticism regarding its environmental practices and treatment of Indigenous communities. The scrutiny centered on two controversial pipeline projects, Coastal GasLink and Keystone XL, which faced widespread protests and media attention from 2019 to 2022. Employing legitimacy theory and impression management literature, this research analyzes TC Energy's public communications and actions during this period. An in‐depth review of the corporation's reports reveals that, despite obtaining regulatory permits, TC Energy's operations were frequently criticized, particularly concerning environmental impact and Indigenous rights. Indigenous activism, including blockades by Wet'suwet'en hereditary chiefs, influenced public perception and corporate behavior. TC Energy's responses included asset divestments to fund green energy; launching an environmental, social, and governance forum; and improving environmental and social disclosures. However, while these initiatives aimed to restore legitimacy, the study identifies elements of symbolic disclosure, suggesting some actions were superficial attempts to placate stakeholders. This case highlights the impact of stakeholder pressure and media on corporate legitimacy and underscores the role of Indigenous activism in shaping corporate social responsibility reporting.

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)0.001
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.369
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0010.000
Scholarly communication0.0010.002
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 head0.029
GPT teacher head0.268
Teacher spread0.239 · 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 teacher head, not a consensus.

Study designObservational
Domainnot available
GenreEmpirical

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
Published2025
Admission routes3
Has abstractyes

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