Bibliographic record
Abstract
Forty years ago anxious archivists and librarians coined the catchphrases 'paper decay' and 'acidic corrosion' and thus brought the preservation of archival and library holdings to public attention.The quantity of threatened cultural heritage prompted scientists and technicians to develop a wide variety of mass deacidification methods.Mass deacidification serves memory institutions as a means of preserving originals and also functions as a beacon which signals that conservation must be perceived as a core task and provided with the necessary resources.In Switzerland the Federal Archives and the National Library (NL) opted for the papersave process in 1995 which was implemented in the papersave swiss facility and available to all interested parties in Switzerland until 2022.During the years 2000-2014 the NL treated all collections intended and suitable for deacidification.The quality assurance concept included long-term monitoring of the treated holdings; over the observation period of currently seven to twenty years, the deacidification treatment proved to be sustainable and stable in 97% of cases.Mass deacidification is an intervention in the original substance and cannot be reversed or repeated.The responsible selection of holdings and deacidification methods, for which international standards and sufficient experience are now available, is of decisive importance. Initial SituationSince the 1970s libraries and archives had increasingly noticed papers that were ageing rapidly and becoming brittle and the responsible librarians and archivists feared the worst and raised public alarm.Journalistic-effective catchphrases were coined such as 'acidic corrosion', 'paper decay' and 'paper crumbles to dust', which may be found in numerous press articles in North America and Canada in the early 1980s and in Europe in the 1990s.Given the scale of the threat, the aim was to develop 'mass processes'.Scientists dreamed of inexpensive processes to neutralise acids in paper, combined with a stabilisation of the paper and even the fumigation of entire storage facilities; of the
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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 | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.200 | 0.012 |
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; both teacher heads 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".