Supporting Global Equity in Documentary Heritage with a Free, Minimal Computing Solution for Creating Sustainable and Accessible Digital Exhibitions
Bibliographic record
Abstract
The Global South’s documentary heritage is less online than the Global North’s and tools and methods are needed for enhancing the discoverability of collections where resources are constrained. The Zulima collection, late 19th- and early 20th-century documents pertaining to an important female Venezuelan author and playwright is a collection at risk of being lost as there are currently no memory institutions in Venezuela that can safely keep it. This project proposes a way to expand on existing metadata management software, SWALLOW, minimal web templates, a data export to Wikidata, and free asset hosting, to make this collection available online and accessible for future researchers. Soutenir l’équité mondiale dans le patrimoine documentaire avec des solutions informatiques gratuites et minimales pour créer des expositions numériques durables et accessibles : Le cas de Zulima RésuméLe patrimoine documentaire des pays du Sud est moins présent en ligne que celui des pays du Nord, et des outils et méthodes sont nécessaires pour améliorer la découvrabilité des collections où les ressources sont restreintes. La collection Zulima, documents de la fin du XIXe et du début du XXe siècle concernant une importante femme autrice et dramaturge vénézuélienne, est une collection qui risque d’être perdue étant donné qu’il n’y actuellement pas d'institutions mémorielles au Venezuela qui peut la conserver en sécurité. Ce projet propose un moyen d’étendre le logiciel de gestion des métadonnées existant, SWALLOW, des modèles web minimaux, une exportation de données vers Wikidata, et l’hébergement gratuit de ressources dans le but de rendre cette collection disponible en ligne et accessible pour les futures chercheurs·euses. Mots-clésarchives; préservation numérique
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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 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.007 | 0.009 |
| Open science | 0.002 | 0.008 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.016 | 0.003 |
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".