"Across the North: Alaskan Sámi Visual History in Archival Photographs." Research with archival photographs, circa 1894-1930s, Alaska, USA
Bibliographic record
Abstract
In 1894 and 1898, mostly Northern Sámi individuals from Finnmark (Norway) arrived in Alaska. They were hired by the United States government and tasked to instruct Alaska Natives in the art of reindeer herding. The introduction of domestic reindeer into Alaska started as an attempt to bolster the food security of Alaska Native communities and assimilate them into the United States. Reindeer herding brought together Alaska Natives, Sámi families, and non-Indigenous individuals. Photographers captured parts of this multicultural history, but contextual information regarding the photographs (names, dates, places) is often partial or lacking. My research involved visual elicitation, a method in which these photographs were used as a basis for ethnographic interviews and a lens for (re-)examining ethnohistorical sources. The outcome of this collaborative work is submitted to the Arctic Data Center as a booklet that draws insights from both field and archival research. The booklet is also meant for sharing some of the knowledge that was created through this process.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.006 | 0.012 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.022 | 0.012 |
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".