Harnessing cultural and human capital for economic sustainability: a New Brunswick model
Bibliographic record
Abstract
Purpose What is the role of culture in economic development? Is there any hope for the local in the larger frame of the global? The purpose of this paper is to examine the role that culture plays in economic development and sustainability. To do that, the author examines the values underlying responsible government in Atlantic Canada in the early days of settlement, broadening to a consideration of how those values might apply today. Design/methodology/approach Beginning with a brief history of neo‐liberalism that roots globalization in sixteenth century mercantilism, this paper illustrates how economic development in Atlantic Canada and New Brunswick is sustained by attention to cultural and civic enterprise. Findings This paper uses Benedict Anderson's theory of social narrative – that culture and other imaginative labours play a direct and important role in identity‐formation – to suggest that a robust local identity is the raw material for economic vitality in enterprising communities. Research limitations/implications This paper calls for a larger treatment. Because the topic is so large, the author can only skim the surface. Practical implications This paper will be of interest to all politicians and policy makers faced with the challenge of retooling their economies in a time of globalization and market shift. Originality/value This discussion of the role of culture in economic development and sustainability in Atlantic Canada, particularly New Brunswick, is timely and crucially given the recent collapse of the region's largely resource‐based economy. The relationship between culture and economic sustainability will resonate for readers in various sectors and territories.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.005 | 0.008 |
| Scholarly communication | 0.007 | 0.004 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.010 | 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".