The Aboriginal Education Awards Application The Husky Aboriginal Education Awards
Bibliographic record
Abstract
are bursaries awarded to Aboriginal students who strive to achieve greater career success by pursuing education. These awards are available to all Aboriginal students enrolled in high school and post-secondary institutions. The selection committee bases its decision on academic achievement and on how the individuals desired career path relates to the petroleum industry. There are no age restrictions and every application is judged on its own merit. Husky would like to thank you for your interest and we look forward to seeing your application by May 31. Eligibility • Canadian citizen of Aboriginal ancestry • In need of financial assistance • Affiliated with a community in close proximity to Husky operations Scholastic Programs • Registered in a recognized secondary institution, community/technical college or university • Programs of study leading to a degree, diploma or certificate • Possess satisfactory academic qualifications • Maintain a full course load as defined by the institution • Preference is given to disciplines relevant to the petroleum industry Bursary Funding Amounts • University (maximum 4 years of funding) $3,000/year • Community/Technical College (maximum 2 years of funding) $2,500/year • Secondary School (maximum 1 year of funding) $1,000/year Selection Process • Awards recipients are selected by a committee who base their decision on the eligibility criteria stated above. • A completed application and essay component are weighted equally Application Deadline • May 31 at 4 pm • Late submissions will not be considered • Education Award Winners are notified by phone no later than August 31. Find more information about the Awards • Application forms and information are available at www.huskyenergy.com under
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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 | 0.006 | 0.016 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.006 | 0.001 |
| Scholarly communication | 0.005 | 0.001 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.152 | 0.052 |
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".