Exploring economic development and business strategy: considerations for economic development officers in rural Canadian resource-based communities
Bibliographic record
Abstract
Rural, resource-based communities are vital to Canada's economic foundation but despite the importance of these communities, their individual lifespans can often be fleeting due to the susceptibility to boom and then inevitably bust. Economic development officers, the individuals charged with fostering economic growth, sometimes struggle with challenges that the author hypothesizes could be enlightened by exploring different disciplines. This research will explore economic development and business strategy as they relate to economic development officers. The goal is to identify considerations to broaden perspectives and elevate the awareness of economic development officers to augment their strategic planning process. The analysis aims to present reasonable evidence that turning to alternative disciplines, specifically in the case of economic development in rural Canadian resource-based communities, can yield encouraging results. The author hopes these findings will encourage others to consider the exploration of alternative disciplines and the implementation of foreign concepts in their daily occupations. --Leaf ii.
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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 | 0.052 | 0.013 |
| Scholarly communication | 0.015 | 0.004 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.009 | 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".