Bibliographic record
Abstract
Edith Fowke's archival remains are not gathered together in a single location, which is unfortunate since it makes research into Edith's life and achievements more difficult than need have been the case.As far as I can tell so far, there are three places where material relating to Edith can be found: the Canadian Museum of Civilisation in Hull, Quebec; York University in Toronto; and the University of Calgary.At first glance, at least, by far the largest of these three collections is in Calgary, in the Special Collections section of the MacKimmie Library, housed at the very top of the Library tower.The University of Calgary also possesses Edith's personal book collection, but regrettably this has been integrated with the main University collection.It is however possible to obtain a print-out listing all the books donated by Edith and Frank Fowke.Without going in person to Calgary it is possible to get some sense of what is in part of the fonds Fowke, although you cannot get a listing of everything.Use your web browser to reach the U. of C. website, and then locate Special Collections in the MacKimmie Library.This may seem easier said than done, but with persistence you will find it.Once there, click on the Richard Johnston Collection (the music archives).The Fowke collection is a sub-set of this.You will find that fonds Fowke is divided into fifteen different accession numbers.The reason for this is that the archival material was donated at different times and by different people.Of these fifteen accessions, ten have so far been catalogued
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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.405 | 0.240 |
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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.
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".