Studying Reality: The Application of Theory in an Aspect of UK Practice
Bibliographic record
Abstract
This paper contributes to the ongoing debate about the nature of the relationship between theory and practice. It reviews traditional approaches, considers more recent ones, both within and beyond the archival domain, and concludes that the relationship is a dynamic one. It offers a case study on the investigation of the application of appraisal theory in a range of UK archives, which demonstrates that training, experience, and intuition are of as much use as theory to some practitioners, although responses are often shaped by the archives’ organizational setting. RÉSUMÉCe texte contribue aux débats continus sur la nature du lien entre la théorie et la pratique. Il revoit les approches traditionnelles, il considère les plus récentes tant dans le domaine de l’archivistique qu’au-delà, et il conclut que le lien est dynamique. Il offre une étude de cas sur l’analyse d’une application de la théorie de l’évaluation archivistique dans un éventail d’archives britanniques qui révèle que la formation, l’expérience et l’intuition sont tout aussi utiles que la théorie pour certains praticiens, même si les réponses sont souvent colorées par le contexte organisationnel du centre d’archives.
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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 | 0.040 | 0.057 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.007 | 0.005 |
| Science and technology studies | 0.008 | 0.084 |
| Scholarly communication | 0.020 | 0.019 |
| Open science | 0.003 | 0.012 |
| Research integrity | 0.004 | 0.005 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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".