Sustainable Canada: Report of Consultation Meetings in Calgary, Vancouver, Montreal and Toronto June 10-19, 2002
Bibliographic record
Abstract
The following points encompass the discussion following Dr. David Wheeler's presentations at the four meetings. Branding Canada• There is a difference between intentional national branding and relying on the general history and reputation of a country, as well as firm driven national identity forming.• The upside / downside of Canada's high dependency on exports must be considered in any brand development process.• Implications of getting the branding message "wrong" must be discussed and dealt with before promoting the brand.• What value system do we encompass in the brand?If we push the message too high, we will risk a backlash with people looking for or expecting too much.• How much inconsistency can the brand tolerate -does "everyone" need to buy in?Can one "bad" company, or company acting contrarily to the message tear down the entire brand?• The brand message cannot go too far or too fast -if some companies in various sectors cannot keep up with the message or value system being conveyed, it could undermine the rest of the message.• A learning journey analogy is therefore more powerful -not representing ourselves as perfect, but as on an aggressive learning track (addresses the risk factor).• At what level should Canada be marketed?How do we decide what Canada means and what segments we are marketing to i.e. corporations versus individuals?• Are we branding products or branding our multinational companies?Why not just let the multinationals build the brand?Is it feasible to control this process?Is the branding process focusing on national or international markets?• Canada is often considered a branch plant economy -how would this work with the brand?Canada also has a well-developed SME economy creating the opportunity for the brand to create a sophisticated, international advertising campaign for thousands of SMEs to assist with their supply chain strategies.Supply chains are important for reinforcement of values and sales messages: vendors and customers are both important.Also, Canada could build its own product, something uniquely Canadian that has value abroad.• The solution has to be innovative, as the brand will have a different value depending on the size of the business aligned behind it.There is opportunity for small business to bask in the halo affect of a Canadian brand endeavour.
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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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.007 |
| Science and technology studies | 0.010 | 0.001 |
| Scholarly communication | 0.005 | 0.001 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.033 | 0.004 |
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".