Halted by the Archive: The Impact of Excessive Archival Restrictions on Scholars
Bibliographic record
Abstract
This article, written from the dual perspectives of a scholar and an archivist, considers the impact of excessive archival restrictions on scholars who seek access to primary material in order to ensure the integrity and accuracy of their research. Ruth Panofsky's view is that of a literary scholar whose work is informed by archival research. Michael Moir's view is that of a university archivist who has facilitated scholarly access to York University's archival holdings. Together, they argue for access to fonds held in public archives and the need for archival institutions to provide and lobby for such access. In this article, author Panofsky draws on her recent work with the Adele Wiseman fonds, held in the Clara Thomas Archives, Scott Library, York University. Since that research was undertaken with great difficulty, the narrative that follows may dishearten some scholars. The eventual overcoming of the barrier of restricted access to archival material, which, for a number of years, hindered the progress of the Wiseman project, was due largely to dogged determination — her own, and that of the archival staff of York University. As this article shows, when scholars and archivists alike recognize ‘the archival home’ as a site ‘of constant discovery and excitement,’ 2 the viable outcome is research that is both vivid and sound.
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 | 0.037 | 0.142 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.005 |
| Science and technology studies | 0.026 | 0.040 |
| Scholarly communication | 0.034 | 0.024 |
| Open science | 0.004 | 0.028 |
| Research integrity | 0.005 | 0.009 |
| Insufficient payload (model declined to judge) | 0.007 | 0.001 |
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".