Picturing place: photography and the geographical imagination
Bibliographic record
Abstract
Contents vi Figures vii Acknowledgements x Contributors xii Introduction: Photography and the Geographical Imagination 1 - Joan M. Schwartz and James R. Ryan Part I Picturing Place 19 1 La Mission Heliographique: Architectural Photography, Collective Memory and the Patrimony of France, 1851 21 - M. Christine Boyer 2 Retracing the Outlines of Rome: Intertextuality and Imaginative Geographies in Nineteenth-Century Photographs 55 - Maria Antonella Pelizzari 3 Visualizing Eternity: Photographic Constructions of the Grand Canyon 74 - David E. Nye 4 Family as Place: Family Photograph Albums and the Domestication of Public and Private Space 96 - Deborah Chambers Part II Framing the Nation 115 5 Picturing Nations: Landscape Photography and National Identity in Britain and Germany in the Mid-Nineteenth Century 117 - Jens Jager 6 Capturing and Losing the 'Lie of the Land': Railway Photography and Colonial Nationalism in Early Twentieth-Century South Africa 141 - Jeremy Foster 7 Constructing the State, Managing the Corporation, Transforming the Individual: Photography, Immigration and the Canadian National Railways, 1925-30 162 - Brian S. Osbourne Part III Colonial Encounters 193 8 Emperors of the Gaze: Photographic Practices and Productions of Space in Egypt, 1839-1914 195 - Derek Gregory 9 Mapping a Sacred Geography: Photographic Surveys by the Royal Engineers in the Holy Land, 1864-68 226 - Kathleen Stewart Howe 10 Home and Empire: Photographs of British Families in the Lucknow Album 1856-57 243 - Alison Blunt 11 Negotiating Spaces: Some Photographic Incidents in the Western Pacific, 1883-84 261 - Elizabeth Edwards Epilogue 281 12 Wunderkammer to World Wide Web: Picturing Place in the Post-Photographic Era 283 - William J. Mitchell Notes 305 Index 347
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.003 | 0.008 |
| Scholarly communication | 0.011 | 0.007 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.040 | 0.004 |
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".