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Data from: Castles, Battlefields, and Continents: A Dataset of Maps from Literature Dataset
Bax, Axel; Mimno, David; Wilkens, Matthew (2025)
These files contain data supported results in Bax et al. Castles, Battlefields, and Continents: A Dataset of Maps from Literature. In Bax et al. we found: Maps are not common in novels. It is not obvious that they are necessary at all. Yet maps do appear in some novels. Why and to what ends? To answer these questions, scholars need a large collection of novels that contain maps. We develop a computational system to identify maps from page images and apply it to a large historical corpus of fiction. We deploy a three part workflow using an ensemble of three finetuned EfficientNet convolutional neural network (CNN) classifiers, Contrastive Language-Image Pre-training (CLIP), and human annotation to identify 2,622 maps in over 32 million pages of fiction published 1800–1928. We find that 1) maps are rare, making up 0.008% of all pages (1.7% of novels contain at least one map) 2) “map novels” were most common at the turn of the 20th century, 3) maps mostly appear on endpapers or front matter, 4) only 43% of map novels contain references to maps in their library MARC records, 5) 25% of maps depict fictional settings, 6) 70% of maps represent areas at a regional or larger scale, and 7) map novels contain more spatial language than non-map novels.
Fast Radio Burst Community Newsletter - Volume 6, Issue 11
Nimmo, Kenzie; Chatterjee, Shami (2025-11-26)
Fast Radio Burst Community Newsletter - Volume 6, Issue 10
Nimmo, Kenzie; Chatterjee, Shami (2025-10-30)
Annual Report FY 2024-2025
Center for Hospitality Research (2025-11-20)
2024-2025 Annual Report published by the staff of the Center for Hospitality Research (CHR) at Cornell University's Nolan School of Hotel Administration.
Valuing Aquatic Invasive Species Management through Discrete Choice Experiments
Zhang, Wendong; Liu, Helen; Liu, Pengfei (New York State Water Resources Institute, 2023)
This study uses a discrete choice experiment (DCE) to estimate how recreational users in New York State value different management strategies for controlling aquatic invasive species (AIS), with a focus on European water chestnuts. Results suggest that water clarity, catch rate, and boat access significantly influence preferences and willingness to pay (WTP), while demographic characteristics and policy framing have varying effects on support for AIS control.