Secrets, Lies and History: Experiences of a Canadian Archivist in Hungary and South Africa
Bibliographic record
Abstract
Cet article est la fois un examen de l'interne de dpts d'archives privs d'Europe de l'Est et d'Afrique du Sud ainsi qu'une analyse du rle critique des dpts d'archives et des muses comme gardiens de la mmoire collective.Les expriences de l'auteure comme archiviste en audio-visuel, d'abord Budapest, o elle a travaill la Open Society Archives cre par George Soros, et au Mayibuye Centre du Cap, fournissent une fentre unique sur des collections archivistiques hautement subversives et qui documentent les activits de deux rgimes parmi les plus rpressifs du XX e sicle.Les contrastes et parallles dans l'histoire rcente de la Hongrie communiste et de l'Apartheid en Afrique du Sud offrent des exemples convaincants de la faon dont les histoires nationales sont modeles et contrles par les pouvoirs dominants.En vue de montrer leur nouvelle image de socits libres, les historiens de ces deux pays doivent r-examiner les documents du pass : parmi ceux-ci se trouvent des secrets bien gards qui ont t soustraits la connaissance du public ainsi que les mythes et mensonges qui ont t gravs dans la mmoire du public coup de frquentes rptitions.ABSTRACT "Secrets, Lies and History: Experiences of a Canadian Archivist in Hungary and South Africa" is both an inside view of privately funded archival repositories in Eastern Europe and South Africa and an analysis of the critical role of archives and museums as the keepers of public memory.The experiences of the author as an audiovisual archivist, first in Budapest, where she worked at the Open Society Archives founded by George Soros, and then at Cape Town's Mayibuye Centre, provide a unique window on formerly subversive archival collections documenting the activities of two of the most repressive regimes of the twentieth century.The contrasts and parallels in the recent histories of Communist Hungary and Apartheid South Africa offer striking examples of how national histories are shaped and controlled by dominant powers.In order to reflect their new image as liberated societies, historians in both countries are faced with the task of re-examining the records of the past: the well-kept secrets that were withheld from public knowledge and the myths and lies that were fixed in public memory through frequent repetition.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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 teacher head, 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".