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Record W3126601109 · doi:10.22584/nr51.2021.002

The Case for a Greenpeace Apology to Newfoundland and Labrador

2021· article· en· W3126601109 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

fundA Canadian funder is recorded on the work.
venuePublished in a venue whose home country is Canada.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueThe Northern Review · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicCanadian Identity and History
Canadian institutionsnot available
FundersMemorial University of Newfoundland
KeywordsGeographyEnvironmental ethicsGenealogyEthnologyHistoryPhilosophy

Abstract

fetched live from OpenAlex

Greenpeace’s early work in the anti-sealing movement in the 1970s–1980s is a complex legacy for the organization to navigate. While Greenpeace Canada withdrew from the anti-sealing movement in 1986 and expressed regret for the impact of its actions on Inuit, the extent of the long-term damage caused by the anti-sealing movement, and Greenpeace’s controversial track record in it, motivated Greenpeace Canada to articulate a more robust public apology to Canadian Inuit in 2014. This commentary outlines a case for Greenpeace to continue its path of reconciliation for activities undertaken during the anti-sealing movement and to apologize to the people of Newfoundland and Labrador. Particularly, the commentary calls for an apology to sealers, their families, and their communities, and to First Nations and Inuit people from the province, for Greenpeace’s role in inflicting and promoting forms of violence, stigma, and cultural hatred, and in undermining Indigenous rights in the province.

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.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.936
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.024
GPT teacher head0.295
Teacher spread0.270 · 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