Bibliographic record
Abstract
T his text is the culmination of years of teaching the geo- graphy of British Columbia at Capilano College.It comes at a time when one can question whether all the material gathered here should be offered online or in CD-ROM format.I have chosen the "old" textbook style of presentation, in part, because most geography courses at the college level use textbooks.My concern about going online stems from an informal survey of my classes.Eighty percent or more of the evening students were connected to the Internet or had CD-ROM capability at home, but only 20 percent or fewer of the day students had the same capability.It would place a huge burden on the library if electronic sources provided the only "text."Future versions may have any number of formats.In its present form, this text includes references to websites where the most upto-date information can be accessed.It is of course likely that only the government websites and a few others will be maintained in the long run.More important, students are encouraged to use the Internet in conjunction with this text.Several books have been particularly influential in the creation of this text: Roderick Haig-Brown's The Living Land (1961), Mary Barker's Natural Resources of British Columbia and the Yukon (1977), and Charles Forward's British Columbia: Its Resources and People (1987).Each has done an admirable job in assessing the variety of landscapes and issues in British Columbia.Albert Farley's Atlas of British Columbia: People, Environment, and Resources (1979), is another important resource because it not only provides many useful maps but also contains much additional information about the province.I have used British Columbia: Its Resources and People as a text for years because of my preference for a geography that examines themes and stresses an historical perspective.
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 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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.003 | 0.003 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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; both teacher heads agree on what is shown here.
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".