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Record W1966658521 · doi:10.1504/ijtcs.2013.058806

Hydro-Québec and the Crees: the challenges of being accountable to First Nations - case and teaching notes

2013· article· en· W1966658521 on OpenAlexafffundabout
Eduardo Schiehll, Emmanuel Raufflet

Bibliographic record

VenueInternational Journal of Teaching and Case Studies · 2013
Typearticle
Languageen
FieldSocial Sciences
TopicSocial Sciences and Governance
Canadian institutionsHEC Montréal
FundersHEC Montréal
KeywordsAccountabilityTransparency (behavior)Reciprocity (cultural anthropology)LicenseSocial accountingBusinessAccountingPublic relationsCompensation (psychology)Political sciencePublic administrationSociologyManagement accountingLawSocial sciencePsychology

Abstract

fetched live from OpenAlex

This case highlights various phases in four decades of relations between Hydro-Québec, a provincial utility, and the Crees, a First Nation living mainly in northern Quebec, progressing from conflicts and impasse to accountability. It highlights two processes: 1) the stages in the relational process between a company and a community from the perspective of a social license to operate at the interorganisational level; 2) management accounting processes, which translate into corporate commitments and agreements concerning accountability and transparency. The major purpose of this case is to provide material (background) for discussion on how a company can improve its corporate social responsibility by enhancing transparency and accountability towards its stakeholders. This case illustrates how Hydro-Québec has used accountability mechanisms such as voluntary and mandatory disclosure, environmental impact measurement and assessment, and compensation to engage with the First Nations and to build a long-term reciprocity-based relationship with them.

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)0.002
metaresearch head score (Gemma)0.004
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.291
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.001
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 head0.034
GPT teacher head0.353
Teacher spread0.319 · 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 designQualitative
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

Citations4
Published2013
Admission routes3
Has abstractyes

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