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Record W7038150178

The Futures of Environmental, Social, and Governance (ESG) by 2043 in Canada, and the Potential Implications on Large and Public Companies

2023· other· en· W7038150178 on OpenAlex

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.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueOCAD University Open Research Repository (OCAD University) · 2023
Typeother
Languageen
FieldAgricultural and Biological Sciences
TopicFish Biology and Ecology Studies
Canadian institutionsnot available
Fundersnot available
KeywordsGreenwashingCorporate governanceFutures contractQuality (philosophy)Scenario planningSet (abstract data type)RestructuringResilience (materials science)SensemakingKey (lock)
DOInot available

Abstract

fetched live from OpenAlex

It has been almost 20 years since Environmental, Social, and Governance (ESG) was first coined and introduced as a vehicle to incentivize businesses to make tangible contributions to global challenges, such as the ones outlined in the United Nations Sustainable Development Goals. Since then, ESG assets and ESG-driven investment have steadily grown in the capital markets around the world, including Canada. However, there is also mounting criticism of ESG efforts regarding continued greenwashing practices, poor quality data, and lack of transparency, among others.
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\nThis Major Research Project considers some of the most relevant dynamics around ESG and explores the current operating system of ESG in Canada to produce a set of possible scenarios for ESG by 2043. Additionally, this report also articulates high-level potential implications for public and large companies in each one of those possible futures.
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\nA combination of primary and secondary research methods has been undertaken to achieve the project's goal, following principles of strategic foresight, design thinking, and systems thinking. Unstructured interviews and participatory design methods were conducted with knowledgeable individuals in relevant areas for this study to collect primary data. Literature review, environmental scan, horizon scan, and other research methods were also undertaken to collect secondary data and inform various frameworks for sensemaking and scenario generation.
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\nThe different analyses and scenarios in this report can be used to strengthen and inform future-oriented strategic plans and help build resilience for the challenges ahead. Some key insights in this report include i) a set of systemic archetypes used to identify key patterns in a highly complex, dynamic topic, such as ESG, ii) an updated map of key ESG actors in the Canadian context, iii) a set of relevant trends potentially shaping the future of ESG, and iv) a set of four possible and yet distinctive futures of ESG in Canada, with high-level potential implications for each scenario.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.752
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.002
Scholarly communication0.0000.000
Open science0.0010.001
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 head0.023
GPT teacher head0.219
Teacher spread0.196 · 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