Bibliographic record
Abstract
At September's All Staff Meeting, President and CEO Sharon Carry introduced us to a new concept that the College is moving towards, the Learning College.It turns out that it's not such a new idea for Bow Valley College, after all... Premier's Scholarship Fundraiser Celebrates Tenth Anniversary This Friday, a unique Bow Valley College event celebrates ten years of support our learners.Over the past decade, the Honourable Ralph Klein, Premier of Alberta, has actively supported the College and our students through an annual fundraising luncheon and auction... Bow Valley College asks… Shelley McConnellEach issue, we ask someone in the College a set of questions, to find out more about who they are and what they do... I Am Committed to Your Success!Of the many professional development opportunities available to Bow Valley College staff, one new program is generating a buzz among managers and frontline staff alike... Parent's Guide to Post-SecondaryCalgary's first big snowfall of the year didn't deter dedicated parents of high school students from finding out more about choices in post-secondary education... United Way Campaign Goes Year-RoundWith October behind us -as well as a set of successful United Way fundraisers -you might think that the College is getting ready to wind down this year's campaign.This year, the organizing committee is taking a different approach, working to involve the whole College community with a year-round campaign... World Staffing Solutions Fills Local NeedBow Valley College is playing a critical part in a new local business venture that will help address Alberta's skills deficit by connecting businesses with immigrant professionals... Artstream Students Show Their Stuff
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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.011 | 0.001 |
| Scholarly communication | 0.010 | 0.004 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.003 | 0.005 |
| Insufficient payload (model declined to judge) | 0.477 | 0.158 |
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".