Bibliographic record
Abstract
Because they are due to economic contingencies rather than to unfavourable natural conditions, present-day regional disparities compel the geographer to modify his concept of the region. Whereas in the past the region was considered essentially as a physical entity, to many authors it appears today to be « a functional area, based on communication and exchange, and as such defined less by its limits than by its centre » (Juillard). It is this concept which will be used in regional planning. Taking the city of Sherbrooke as a nodal centre, the author attempts to define such a region through an analysis and graphical representation of the complementary roles in influence and attraction played by the city in the fundamental aspects of employment, trade, finance, education, communication, health and government. Although it is already well-developed in the secondary sector, with more than 9,000 workers employed in industry and an annual production worth more than $100 million, Sherbrooke bas a power of attraction and influence which is due essentially to its tertiary sector : wholesale trade, insurance, education, communication. Ac-cording to the criteria mentioned above, the area dominated by Sherbrooke includes the whole of the following counties : Sherbrooke, Stanstead, Richmond, Wolfe and Compton ; and the greater part of Frontenac, Mégantic, Artbabaska, Drummond and Brome counties. Shefford and Bagot counties are dominated by Montréal to the west and by Sherbrooke to the east.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.012 | 0.006 |
| Scholarly communication | 0.006 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.028 | 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".