Canada Update - Highlights of Major Legal News and Significant Court Cases from August 2008 through October 2008
Bibliographic record
Abstract
Canadian elections resulted in a stronger Conservative Party minority government, with the Conservative party picking up 143 ridings, up from 127 in 2006.1 Stephen Harper, as head of the Conservative Party, remained Prime Minister of Canada. 2 The Liberal Party of Canada secured seventy-six ridings, the Bloc Qudbdcois secured fifty ridings, the New Democratic Party of Canada secured thirty-seven ridings, the Green Party of Canada secured zero ridings, and two ridings were won by independent candidates. 3This year's election resulted in a record low for voter turnout, with an estimated 59.1 percent of Canadians voting in the election. 4B. GOVERNMENT OF VANADA TO EXTEND JURISDICTION OVER ARCTIC WATERSThe Government of Canada announced that it will seek to "extend its jurisdiction in the Arctic by doubling the range at which Canadian environmental laws and shipping regulations will be enforced." 5Canadian Prime Minister Stephen Harper stated that "as an environmental matter, as a security matter and as an economic matter we are making it perfectly clear that not only do we claim jurisdiction over the Canadian Arctic, we are also going to put the full resources of the Government of Canada
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 | 0.000 | 0.000 |
| 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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".