Authority in Space?: Creating a Digital Web-based Map Archive
Bibliographic record
Abstract
The paper discusses the creation between 1999 and 2002 of a collaborative Web-based digital image and map catalogue archive, “Charting the Nation,” coordinated by the Department of Geography, University of Edinburgh, and Edinburgh University Library. The creation of the archive, based on the maps, cataloguing information and associated manuscript sources in the holdings of numerous collaborating institutions, is examined in relation to questions concerning the nature of archives generally and to this archive in particular as a “space” of authority. Issues posed by the electronic archive as a “virtual space” and in the creation and practical management of this digital Web-based map archive are addressed in relation to debates on postmodernism and the archive and to geographical and other literature on the situated nature of knowledge. RESUME Ce texte examine la creation entre 1999 et 2002 de « Charting the Nation », une collection d’archives Web en commun qui comprend des images numerisees et un catalogue cartographique, qui ont ete coordonnes par le Departement de geographie de l’Universite d’Edimbourg et la Bibliotheque de l’Universite d’Edimbourg. La creation de ces archives, basee sur des documents cartographiques, de l’information de catalogage et des sources manuscrites associees provenant de plusieurs institutions en collaboration, est examinee en relation aux questions entourant la nature meme des archives de facon generale et la nature de ces archives specifiques comme un « espace » d’autorite. Les questions posees par les archives electroniques comme un « espace virtuel » aussi bien que celles suscitees par la creation et la gestion pratique de cette collection d’archives specifique sont examinees. Pour ce faire, le texte fait un lien entres ces questions et les debats sur le postmodernisme et les archives, et sur la litterature – geographique et autre – sur la nature du savoir situe (« situated knowledge »).
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How this classification was reachedexpand
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 | 0.001 | 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 | 0.001 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".