Moments of Risk: Identifying Threats to Electronic Records
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
L'auteur a quitt le domaine des documents lectroniques il y a dix ans, puis il y est retourn afin d'examiner ce qui l'poque semblait tre un champ de bataille de positions irrconciliables.Depuis 1997, des points de convergence significatifs semblent tre ressortis.Ce texte identifie six moments de risque qui se produisent lors de transitions d'tats critiques dans la vie des documents : l'enregistrement, le maintien, l'ingestion, l'accs, la disposition et la prservation.Il examine la littrature de la dernire dcennie dans le but d'identifier les critres gnralement reconnus selon lesquels on peut savoir que les documents ont russi traverser ces moments de risque indemnes.En reprant les points critiques dans la vie des documents et les critres selon lesquels nous pouvons nous assurer que nos mthodes de gestion ont russi, il espre prparer l'arrive de tests qui pourraient tre accepts par les dfenseurs de diffrentes stratgies.
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.
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 | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it