Bibliographic record
Abstract
The District School Board of Niagara (DSBN) is committed to obtaining maximum value for each dollar spent on its purchases of goods and services, consistent with the educational goals of the DSBN and fair business principles. It shall be the policy of the DSBN: (a) To comply with the Government of Ontario Broader Public Sector Procurement Directive. (b) Consider Accessibility for Ontarians with Disabilities Act (AODA) requirements when developing competitive bids. (c) To encourage open competitive bidding on the acquisition of all goods and services where feasible, practical and cost effective. (d) To be transparent by providing access to information on procurement opportunities and processes. (e) To select vendors on the basis of appropriate selection criteria, including meeting of required technical and business performance specifications, expertise and approach, and lowest total life cycle costs * (not just lowest purchase price). (f) To have in place the necessary procedures, systems, administrative controls and trained personnel to ensure compliance with professional practice, public accountability, public sector supply chain code of ethics and DSBN code of conduct and conflict of interest guidelines. (g) To incorporate responsible environmental criteria in procurement practices without unduly affecting total life cycle costs*. * “total life cycle cost ” shall mean the sum of all costs including acquisition cost (purchase price and other initial costs), warranty, operating and disposal costs.”
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 | 0.003 | 0.017 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.005 | 0.004 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.003 | 0.002 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.201 | 0.101 |
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".