Bibliographic record
Abstract
Biases, subjectivity and a subconscious worldview can all affect how archivists approach documenting those communities outside their own, or mainstream, culture. Those communities, too, having been historically marginalised in various ways, may not always be willing participants in the archival endeavour. This paper examines how well Canadian archivists have documented LGBT (lesbian, gay, bisexual, transgender) history, drawing on the results of two surveys and a review of existing descriptions on ArchivesCanada, the national database of archival holdings. The impact of government policy toward the LGBT community, donor reluctance, the potential dichotomy between personal records documenting an individual life and those of a social movement, and changing research trends are some of the external issues identified as having an effect on the nature of the archival record. The move away from acquiring private records, and failure on the part of archivists to be proactive in their collection acquisition, are identified as issues of concern, suggesting the spectre of larger and growing absences in the archival record is looming.
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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 | 0.014 | 0.029 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.005 | 0.006 |
| Science and technology studies | 0.019 | 0.013 |
| Scholarly communication | 0.019 | 0.008 |
| Open science | 0.003 | 0.010 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.011 | 0.002 |
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".