Representations of Inuit Culture in the Cambridge Museum of Archaeology and Anthropology
Bibliographic record
Abstract
This paper examines issues of representation and interpretation of Inuit art at the University of Cambridge Museum of Archaeology and Anthropology. The author uses a semiotic and post-colonial approach to analyze the objects and informational text used in the museum’s exhibit of Inuit art. Questions are raised about the aim of the exhibition, its intended audience, the messages communicated and exactly whose history is presented. Problems associated with the signifying elements are discussed in light of the ability for deeply held attitudes to be revealed through the choices made by the writers and designers of the exhibit. Resume Cet article analyse les problemes de representation et d’interpretation de l’art Inuit au Musee d’archeologie et d’anthropologie de l’Universite de Cambridge. L’auteur utilise une approche semiotique et postcoloniale pour analyser les objets et les informations ecrites utilisees dans l’exposition d’art inuit du musee. Certaines questions sont soulevees, en ce qui concerne la finalite de l’exposition, le public attendu, les messages communiques, et l’histoire de qui, exactement, est representee. Nous discuterons ici de certains problemes associes aux elements signifiants a la lumiere de l’aptitude des redacteurs et des concepteurs de l’exposition a se tenir sur des positions fermes, ce qui se revele a travers leurs choix.
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 | 0.004 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.006 | 0.006 |
| Science and technology studies | 0.008 | 0.014 |
| Scholarly communication | 0.013 | 0.006 |
| Open science | 0.002 | 0.009 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.009 | 0.000 |
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".