Bibliographic record
Abstract
In this special issue of Nordic Museology we present a range of articles that give us unprecedented insights into the development and changes of museum representations of Sámi culture.The articles offer a thorough investigation of how Sámi culture has been an object of knowledge for museums and how this knowledge production has been entangled with representations of the Sámi in Nordic museums and society.Sámi culture is specific to Scandinavia and Russia, and Sámi museology is an important topic for which our journal ought to be a central hub.And indeed, this has also been the case in the latter years.In 2015 Nordic Museology made the special issue "Rethinking Sámi cultures in museums", where a range of authors discussed contemporary Sámi displays and heritage work.Some articles also delved into the history of collecting and collections of Sámi artefacts.However, that issue dealt mostly with contemporary colleting and display.The present issue, we believe, can work very well as a sequel where more attention is given to historical transformations -as stated in the title for the issuefrom Lappology to Sámi museology.In the introductory article to the 2015 issue, anthropologist Christina Kreps claimed that much attention had been given to collaboration and changes in the relations between indigenous communities and museums in Australia, Canada, New Zealand and the United States.However, she claimed, less is known "about the current status of relationships between indigenous populations, such as the Sámi, and the Nordic museums.Similarly, the literature on indigenous peoples' museums and cultural centers has expanded greatly in recent years but includes limited contributions about Sámi museums" (Kreps 2015, 4).This new issue will not rectify the lack of attention to contemporary Sámi museums and cultural centres, but it gives us insights into how the changes in representation of and knowledge production about Sámi cultures have been interconnected with changes in the societal discourses about the Sámi.This historical perspective, moving from the 19th century to the present, gives a unique comparative understanding of Nordic institutional research on and representation of Sámi culture.We hope this will provide yet another stone to step on in establishing Sámi museology as a thriving field.
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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 | 0.002 | 0.013 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.008 | 0.005 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.003 | 0.005 |
| Insufficient payload (model declined to judge) | 0.361 | 0.220 |
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".