MétaCan
Menu
Back to cohort
Record W2327831700 · doi:10.1177/1469605312458735

The rediscovery of HMS <i>Investigator</i> : Archaeology, sovereignty and the colonial legacy in Canada’s Arctic

2013· article· en· W2327831700 on OpenAlexafffundabout
Lisa Hodgetts

Bibliographic record

VenueJournal of Social Archaeology · 2013
Typearticle
Languageen
FieldHealth Professions
TopicIndigenous Studies and Ecology
Canadian institutionsWestern University
FundersMcDonald Institute for Archaeological ResearchParks Canada
KeywordsArcticSovereigntyIndigenousColonialismArchaeologyPoliticsNavyNexus (standard)Circumpolar starHistoryEthnologyPolitical scienceLawOceanographyEngineeringEcology

Abstract

fetched live from OpenAlex

HMS Investigator, the British Navy vessel that discovered the North-West Passage in 1850, helped to stake Britain’s claim to Arctic territory. Her crew’s colonial attitudes towards the Indigenous Inuit inhabitants of the region have been perpetuated in archaeological interpretations of the ship’s impact on local Inuit communities and in media coverage of the rediscovery of the ship by archaeologists in 2010, which framed the ship as a symbol of Canada’s Arctic sovereignty. As climate change continues to fuel international debates about the control of Arctic resources and to negatively impact the Arctic archaeological record, Arctic archaeology promises to become increasingly political. In the Canadian Arctic, a range of collaborative projects that bring together archaeologists and Inuit community groups to better understand the human history of the north have made important steps towards decolonizing our discipline and could ripple outwards to support Inuit demands for a voice in international debates about Arctic sovereignty. Should we choose, these projects could also work to change the way the past is mobilized and presented beyond archaeological circles, contributing more directly to social justice on a broader scale.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.129
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0020.004
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.014
GPT teacher head0.286
Teacher spread0.273 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; both teacher heads agree on what is shown here.

Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations14
Published2013
Admission routes3
Has abstractyes

Explore more

Same venueJournal of Social ArchaeologySame topicIndigenous Studies and EcologyFrench-language works237,207