Together, Better: Stabilizing Stakeholder Relationships and Maintaining Social Capital During Major Economic Decline
Bibliographic record
Abstract
Abstract In early 2014, after nearly a decade of planning, designing, engineering and early-works development of the Total E&P Canada (TEPCA) Joslyn oil sands mining and extraction site in northwestern Canada, the Joslyn project was delayed indefinitely. Significant changes to global energy market conditions and escalating project execution costs necessitated the change and a shift in business direction. Although Joslyn is no longer considered a near-term priority for Total SA, maintaining an appropriate degree of social capital with TEPCA stakeholders is critical to ensure the asset will be accepted by regional stakeholders should the company, its industry partners, or another energy developer recommence project development in the future. During the past seven years TEPCA's societal initiatives have raised the bar and set new standards with urban and Aboriginal stakeholders in the Northeastern Alberta region with highly active community engagement and community integration initiatives and partnerships; comprehensive long-term benefit agreements forged between the company and Aboriginal groups such as the Fort McKay, Mikisew Cree and Athabasca First Nations and the Fort McKay and Fort Chipewyan Métis; and, sustainable community investment programming that builds capacity and enduring shared value potential for stakeholders. As Joslyn operations transition from active operations to paced site development, Aboriginal stakeholder uncertainty levels and interests will need to be well understood and addressed. With the goal at the societal level to ultimately create an optimized position for TEPCA to sustain Joslyn in its current state of suspended development and to also readily, efficiently and expediently recommence operations, Aboriginal Stakeholder relationships must be managed with prudence, resolve and efficacy. How the relationship with Aboriginal and regional stakeholders is managed over the short term will impact the company's ability to return for future development. This paper will discuss the process TEPCA representatives underwent in an attempt to preserve the relationships, social license and reputational investment it established with stakeholders at the community leadership, business and grassroots levels. It will delve into learned lessons regarding the criticality of open and transparent communications, phased in approaches to devolvement and divestment and also outline how company/stakeholder relationships continue to evolve and progress today.
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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 | 0.005 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.017 | 0.006 |
| Scholarly communication | 0.005 | 0.004 |
| Open science | 0.002 | 0.010 |
| Research integrity | 0.001 | 0.002 |
| 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".