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Record W3197155095 · doi:10.5206/092021ip26

Indigenous peoples and responsible investment in Canada

2021· report· en· W3197155095 on OpenAlexafffundabout
Diane‐Laure Arjaliès, Julie Bernard, Bhanu Putumbaka

Bibliographic record

Venuenot available
Typereport
Languageen
FieldEngineering
TopicMining and Resource Management
Canadian institutionsParks Canada
FundersIvey Business School, Western UniversityIndustry CanadaUniversité LavalWorld Bank Group
KeywordsIndigenousInvestment (military)Corporate governanceBusinessPolitical scienceGeographyEconomic growthEconomyFinanceEconomicsEcologyLaw

Abstract

fetched live from OpenAlex

This report explores the engagement between Indigenous Peoples and the Responsible Investment (RI) industry in Canada. Based on interviews with stakeholders, observation of industry conferences, and documentary evidence collected during the first year of the pandemic (i.e., March 2020-March 2021), this report offers an overview of the current discussions regarding Indigenous Peoples in the RI industry. RI is an investment approach that incorporates Environmental, Social, and Governance (ESG) factors into the selection and management of investments (RIA, 2021). In 2019, the Responsible Investment Association (RIA) estimated that assets in Canada managed using one or more RI strategies2 were worth $3.2 trillion, or 61.8 per cent, of total Canadian assets under management (RIA, 2020).

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.135
Threshold uncertainty score0.980

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.004
Science and technology studies0.0220.007
Scholarly communication0.0070.002
Open science0.0010.005
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0070.000

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 head0.014
GPT teacher head0.203
Teacher spread0.189 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations1
Published2021
Admission routes3
Has abstractyes

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