Sustainability, Social Capital, and the Canadian ICT Sector
Bibliographic record
Abstract
In this paper we explore the possibilities of information and communication technology (ICT) companies creating economic, social and ecological value – primarily with reference to two\ntheoretical constructs: sustainability and social capital. We take a global overview and provide commentary on private and public sector applications of digital technologies around the world.\nWe develop a Canadian perspective on sustainability, social capital and the ICT sector and we report on preliminary research with the sector undertaken for the Sustainable Canada project. We observe that at the present time Canadian ICT companies do not see the issue of sustainability as a defining characteristic of their identities or of their business strategies. However, there is a good understanding of the importance of practical commitments to\nenvironmental and social good practice and there is potential for ICT companies based in Canada to enter into strategic partnerships with government and civil society organizations in order to help address a range of social and ecological issues in Canada and internationally. We suggest that pursuit of ‘made in Canada’ initiatives in sustainable development may enhance social capital in the ICT sector which may in turn improve the reputation and competitiveness of Canadian ICT firms.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.005 |
| Science and technology studies | 0.008 | 0.006 |
| Scholarly communication | 0.006 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 0.000 |
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.
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".