Student Independent Projects Environmental Studies 2011: A Values Profile for a Healthy, Sustainable Corner Brook Community
Bibliographic record
Abstract
We now live in a world where urbanization has become the norm. Approximately half the world now lives in cities(O'brien, 2008). In recent years for a province like Newfoundland and Labrador which has relied heavily on one industry, the fishery, this statistic holds a lot of meaning. For well over a century there has been a continuing movement from Newfoundland to other parts of Canada and the US. Between 1971 and 1998 alone, net out-migration amounted 20% of the provinces population. This exodus has become a significant part of Newfoundland culture (Bowering Delisle, 2008). Communities have declining populations because families can no longer afford to live in their communities. For places like Corner Brook though citizens do not feel the urge to move to bigger urban centers like St. John's or places on the mainland. The purpose of this paper is to outline values which maybe keeping Corner Brook residents from uprooting their families to move to bigger urban centers such as St. John's, in order to be able to support ther families, get experience in their fields or to just acquire a job like many other people around the province.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.007 | 0.001 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.034 | 0.007 |
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".