From Data to Records: Preserving the Geographic Information System of the City of Vancouver
Bibliographic record
Abstract
VanMap is a geographic information system used by the municipal government of the City of Vancouver, British Columbia. It provides city staff access to a wide variety of continuously changing spatial information about the city, drawn from internal and external sources, which is used in support of both formal and informal business processes. In the first part of the article, the authors address issues related to the long-term preservation of VanMap encountered in the course of the InterPARES 2 case study conducted in 2004–2005. VanMap is examined within the context of InterPARES concepts of the record in dynamic and interactive environments, and subsequent implications in terms of establishing the essential elements of the system that must be preserved and how to relate the preserved system to the activities it supported are discussed. The second part of the article explores the how the Storage Resource Broker data-grid technology developed at the San Diego Supercomputer Center might be used as a component in the overall preservation strategy. This technology would support maintaining the integrity and authenticity of the preserved system, and contribute to its infrastructure independence through features such as persistent namespaces. RÉSUMÉ VanMap est un système d’information géographique utilisé par le gouvernement municipal de la ville de Vancouver, en Colombie-Britannique. Il permet au personnel municipal en quête de données sur la ville, d’accéder à une grande variété d’information spatiale en constante évolution, puisée de sources internes et externes, qui servent à appuyer les procédés administratifs officiels et non-officiels. Dans la première partie de cet article, les auteurs examinent des questions relatives à la préservation à long-terme de VanMap, questions soulevées lors de l’étude de cas faite dans le cadre du projet InterPARES 2 en 2004-2005. Ils examinent VanMap dans le contexte des concepts élaborés par InterPARES sur les documents dans des milieux dynamiques et interactifs, puis ils se penchent sur les questions qui en découlent, à savoir comment établir les éléments essentiels du système qui doivent être préservés, et comment lier le système préservé aux activités qu’il supportait. La deuxième partie de l’article explore comment la technologie Storage Resource Broker, développée au San Diego Supercomputer Center, pourrait servir comme composante d’une stratégie de préservation complète. Cette technologie pourrait appuyer le maintien de l’intégrité et de l’authenticité du système préservé, et contribuer à l’indépendance de son infrastructure grâce à des caractéristiques comme l’espace de nommage fixe.
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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 | 0.001 | 0.011 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.004 | 0.012 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.009 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 0.002 |
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".