The California Gold Rush: approaches to producing daguerreotype views : an examination of views in the Matthew R. Isenburg Collection at AMC Toronto
Bibliographic record
Abstract
This thesis examines daguerreotypes of outdoor views made during the California Gold Rush from 1848 to 1856, now in the Matthew R. Isenburg Collection at AMC Toronto. The views were made for private commissions, public viewings, and as models for engraving. Daguerreotypists encountered a number of challenging working conditions in the field, different from those in galleries where portraits were taken. In analyzing 18 daguerreotypes from the Isenburg Collection, this thesis investigates how working conditions during the Gold Rush such as light, climate, and terrain, influenced daguerreotypists`s decisions when making views; these include the choice of camera apparatus, optics and aperture, variations in exposure times, and composition and vantage points. By considering the purposes of such views, and the photographer`s approaches to making them, the thesis explains the appearance of these early visual documents of the western American frontier.
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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 | 0.003 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.005 | 0.006 |
| Science and technology studies | 0.011 | 0.007 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.010 | 0.001 |
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".