Bibliographic record
Abstract
Let no act be done at haphazard, nor otherwise than according to the finished rules that govern its kind. Marcus Aurelius (121–180) Meditations , 161–180 AD Even if she cannot directly shape operations herself, the archivist should understand the organizational environment in which archival service is performed. The policy framework includes the legislation, regulations, policies and strategic plans governing the care of records and archives. The administrative framework includes financial, logistical, physical and personnel conditions surrounding archival service in that institution. As with everything else related to archival service, legislative, regulatory and administrative frameworks vary significantly from jurisdiction to jurisdiction and institution to institution. Government archives may be bound not only by a core piece of legislation, such as an Archives Act, but also by legislation related to data protection, access or privacy. A museum archives may need to be aware of the requirements of heritage management legislation, while a bank archives has to adhere to regulations for the disclosure of financial data. Even a community or local history society needs to respect copyright and intellectual property rights, which affect all archival institutions and – as examined in Chapter 7 – are governed by different laws around the world. Imagining the ‘ideal’ organizational structure Given that every archival institution is different, there is no ‘best’ way to configure operations, but – as emphasized throughout this book – digital technologies are transforming how information and evidence are created, directly influencing the ability of archivists to protect authentic documentary evidence for both immediate and future use. An ideal scenario in the 21st century (one that is, in reality, as rare as a feathered alligator) is one that gives the archivist broad powers to oversee the creation, management, use and disposal of documentary evidence, from before information is created to the point at which archives are secured for preservation. In such a dream scenario, the archival institution is ultimately responsible for major policy decisions about records management and archival preservation for its sponsor agency. The archival institution is directly accountable for the care, custody or control of archives but also guides the development and implementation of records policies. The institution may also provide guidance and training on effective records and archives care.
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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 | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.004 |
| Scholarly communication | 0.010 | 0.007 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.057 | 0.024 |
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".