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Record W2992303774

Corporate Sustainability Distinctions, Transitions and Perceptions: A Look to Canada’s Big Five Banks

2019· dissertation· en· W2992303774 on OpenAlexfundaboutno aff
Lindsay Nicole Lucato

Bibliographic record

VenueTSpace · 2019
Typedissertation
Languageen
FieldBusiness, Management and Accounting
TopicCorporate Social Responsibility Reporting
Canadian institutionsnot available
FundersSocial Sciences and Humanities Research Council of CanadaUniversity of Toronto MississaugaUniversity of Toronto
KeywordsSustainabilityPerceptionCorporate sustainabilityPolitical scienceAccountingBusinessCorporate social responsibilityEnvironmental ethicsPublic relationsPsychologyEcologyBiologyPhilosophy
DOInot available

Abstract

fetched live from OpenAlex

Corporate sustainability (CS) is becoming increasingly mistaken for or confused with corporate social responsibility (CSR). Literature in recent years has identified this muddied area and argues for further clarity. Clarifying this confusion and understanding the fundamentals of CS can help to ensure companies implement sustainable strategies that are beneficial for current and future generations, while also ensuring resiliency and long-term success. With the creation of a theoretical framework that sets CS and CSR apart, this research emphasizes the importance of sustainability within business and explores Canada’s Big Five banks as its case study. Through the analysis of 75 past and present reports (2002-2018), as well as interviews with employees of all five companies, the ways in which sustainability and social responsibility are perceived and implemented is investigated. Findings demonstrate clear shifts beyond CSR towards greater focus on CS within Big Five operations, allowing for lessons to be learned across sectors.

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)0.002
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 score0.555
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
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 head0.020
GPT teacher head0.283
Teacher spread0.264 · 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
Published2019
Admission routes2
Has abstractyes

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