Bibliographic record
Abstract
In this study, we have focussed on the West Coast of Newfoundland, a region \nthat faces the North Shore in Quebec and Labrador, along the Gulf of \nSt. Lawrence. The only urban centre in this vast, sparsely populated \n(2.9 pers./km2 \n) and mostly rural (64 percent) region is Corner Brook. Historically, \nthe small francophone population of about 800 souls has been concentrated on the \nPort-au-Port peninsula. \nThe West Coast region of Newfoundland and Labrador cuts across the three \ndistricts of South West Port-aux-Basques in the south, Corner Brook in the centre \nand Northern in the north. This is the economic region of the same name defined \nby Statistics Canada, minus Labrador, which we have left out for reasons of homogeneity. From the provincial standpoint, the West Coast is itself divided \ninto five economic zones, each governed by a regional development board. We \nhave organized our study around these five zones (see map): Nordic, Red Ochre, \nHumber, Long Range and South Western Marine and Mountain. While the West Coast is one of the access points to the island of \nNewfoundland and Labrador, owing to the Port-aux-Basques ferry service, it is \nstill basically remote from any new developments in this province. It is in the \ncapital city of St. John’s, located at the other end of the island, some 700 km from \nCorner Brook, that the major economic decisions are being made and the new \nNewfoundland and Labrador economy is being constructed.2 \n There is of course \nthe urban area of Corner Brook, in the centre of the region, which is still thriving \nthanks to the forest industry, but the risk of a downturn in this growth axis is real. \nThe combination of a very low population density and human resources that are \nill-equipped for an economic adjustment adds to the weight of the challenge that \nawaits the inhabitants of this peripheral region. However, among the shadows that seem to hover over this region’s economy, \nthere are some bright spots. The province has done a considerable amount of \ncatching up in the areas of education and literacy. The fishing industry has diversified, and its landed values are twice those of the pre-moratorium period. The \nnumber of jobs has begun to grow again since the last census. In the St. Anthony \nsub-region, the SABRI (St. Anthony Basin Resources Inc.) initiative offers a \npromising community economic development model, based on fishing profits. \nThe tourist attractions of the West Coast are becoming better known, owing to the \nmillennium celebration of the Viking settlement at L’Anse-aux-Meadows. \nIn the pages that follow, we will present a demographic and socio-economic \nprofile of the region, followed by a discussion of the principal challenges that \nmust be met to give a new impetus to the region’s development.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 teacher head, 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".