Taking the reins: a proposal for managing the previously unmanaged Royal Agricultural Winter Fair Archive
Bibliographic record
Abstract
The Royal Agricultural Winter Fair (The Royal) has been a renowned national event in Toronto’s history since its debut in 1922. The annual fair is held for 10 days each November, and is the largest combined indoor horse show and agricultural fair in the world. As The Royal approaches its centenary year, the timing was perfect to deeply examine the previously-unmanaged collection of over 180,000 photographic objects and ephemera, and nearly seven metres of textual material, that has accumulated over the span of its rich history. Through a thorough review of the collections content and advice for both physical storage of the collection and collections management software options including digital storage, this thesis presents a list of recommendations for creating an accessible archive of this material, a resource that will enable this wonderful collection of important local, provincial, and national history to be preserved and made available to the public.
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 | 0.033 | 0.036 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.012 | 0.007 |
| Scholarly communication | 0.029 | 0.023 |
| Open science | 0.005 | 0.011 |
| Research integrity | 0.008 | 0.008 |
| Insufficient payload (model declined to judge) | 0.031 | 0.024 |
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".