Historical Geography, GIScience, and Textual Analysis: Landscapes of Time and Place eds. by Charles Travis, Francis Ludlow, and Ferenc Gyuris
Notice bibliographique
Résumé
Reviewed by: Historical Geography, GIScience, and Textual Analysis: Landscapes of Time and Place eds. by Charles Travis, Francis Ludlow, and Ferenc Gyuris Zef Segal Historical Geography, GIScience, and Textual Analysis: Landscapes of Time and Place. Charles Travis, Francis Ludlow, and Ferenc Gyuris, eds. Cham, Switzerland: Palgrave Macmillan, 2021. Pp. 272. $179.99, hardcover, ISBN 978-3-0303-7568-3. $139.00, paperback, ISBN 978-3-0303-7571-3. $109.00, eBook, ISBN 978-3-0303-7569-0. Historical GIS has been a thriving research field with tremendous potential for the last two decades; nevertheless, it feels very much in its childhood stages. Scholars are still breaking new ground, and methodologies are even now being assessed and debated. Perhaps the biggest problem it faces is also its biggest advantage: its scope and interdisciplinary nature. Due to its breadth, examples always seem too narrow to exemplify the field, either by limiting the historical questions to a specific case study or by stressing the technicalities of GIS rather than the historical interpretation of the results. Historical Geography, GIScience, and Textual Analysis tackles this problem by providing a rich and varied portrayal of historical GIS in the making. The sixteen chapters offer a diverse range of case studies covering different periods and regions, as well as significantly different source materials and disciplinary backgrounds. At first glance we might even ask, for example, what is the connection between the cinematic views of Texas in the 1984 film Places of the Heart (chapter 1) and the forensic investigation of an 1832 mass grave of Irish immigrant railroaders in Pennsylvania (chapter 3)? And the answer is probably: not much. However, as we continue to read through the chapters of the book, we realize that it is much less about particular case studies, as interesting as they might be, and much more about the common questions facing those implementing historical GIS in their work: What data can be relevant for this type of research? How should this data be mined and later [End Page 135] aggregated? And the most important of all, how does one combine the results with a more nuanced hermeneutic interpretation? Although the contributions are short (seventeen pages on average), the contributors manage, surprisingly well, to provide in-depth examples of the implementation of GIS in their respected study, as well as some reflective insights concerning their work. Part I's contributions of the edited collection deal with the mapping of textual source materials. Chapter 1 juxtaposes cinematic, literary, and scientific depictions of Waxahachie, Texas. Chapter 2 outlines an ongoing digital project of mapping Iceland's medieval textual corpus. Chapter 3 combines archival, archeological, and geographic research to uncover the truth behind an 1832 mass grave in Pennsylvania. Chapter 4 uses the Green Book, the Jim Crow–era travel guide, as a form of spatial countermapping of Black resistance. The four contributions in part II deal with the mapping of social practices and mobilities. Chapter 5 uses GIS to evaluate the impact of urban renewal in San Francisco on LGBTQ hangouts on the city's waterfront. Chapter 6 explores the relationship between work and home in 1881 Ontario. This chapter is a notable example of the methodological affordances of a combined use of data mining, GIS, statistical analysis, and an eventual closer reading of the data. Chapter 7 explores political corruptness in nineteenth-century Atlanta by juxtaposing the initial routes of streetcars in the city and the actual travel patterns of the city's inhabitants. Chapter 8 studies diasporic resettlement patterns of Irish migrants in late nineteenth-century North America. The social dimensions of environmental phenomena are considered in part III. Chapter 9 shows how an 1849 farmer's diary can be used as source material for exploring historical meteorology. Chapter 10 examines the effects of water distribution in the Rio Grande on economic patterns in the region. Chapter 11 presents a geographic interpretation of the available environmental resources during the 1066 Battle of Hastings between the English and the Normans. It successfully shows the methodological value of GIScience in cases where little data is at hand. Chapter 12 explores ringfort locations in the Irish Midlands. Part IV considers the mapping of historical landscapes. Chapter...
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,003 | 0,005 |
| Méta-épidémiologie (sens strict) | 0,002 | 0,001 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| Bibliométrie | 0,004 | 0,011 |
| Études des sciences et des technologies | 0,003 | 0,009 |
| Communication savante | 0,013 | 0,014 |
| Science ouverte | 0,001 | 0,004 |
| Intégrité de la recherche | 0,002 | 0,005 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,034 | 0,012 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».