Managing Relational Legacies: Lessons from British Columbia, Canada
Bibliographic record
Abstract
Issues related to company-community relations and the social license to operate have emerged as strategic business issues. This paper aims to contribute to the growing body of research on long-term company-community relations. An analysis of the relationship between Alcan (Aluminum of Canada, Montréal, Canada part of Rio Tinto since 2007) with the Cheslatta Carrier First Nation in the Kemano-Kitimat area of northern British Columbia, Canada, provides three contributions. The first is related to the notion of relational legacy, which refers to the sedimentation of unresolved issues that have the potential to impede the realization of corporate activities and the reproduction of low levels of social license to operate. The second concerns stakeholder management. While the literature suggests that stakeholders should be managed by companies according to the degree of salience, this analysis suggests that researchers and managers should consider the evolution of the environmental context in their analyses. Third, the analysis suggests that small or marginalized groups, depicted by the stakeholder management literature as dormant stakeholders, should not be underestimated.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.027 | 0.006 |
| Scholarly communication | 0.009 | 0.003 |
| Open science | 0.003 | 0.004 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.008 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".