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Record W2998458536 · doi:10.0001/ijllis.v8i0.2013

LOSS, MEMORY AND CULTURAL IDENTITY IN THE DOMINION OF NEWFOUNDLAND

2020· article· en· W2998458536 on OpenAlexaboutno aff
Juan José Varela Tembra

Bibliographic record

VenueANGLISTICUM. Journal of the Association-Institute for English Language and American Studies · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicCanadian Identity and History
Canadian institutionsnot available
Fundersnot available
KeywordsWildernessContext (archaeology)Gender studiesHistoryEthnologyDominionGeographySociologyEnvironmental ethicsPolitical scienceLawArchaeology

Abstract

fetched live from OpenAlex

Newfoundland and Labrador reluctantly joined the Canadian Confederation in 1949. It is not well known that a process of renewing and strengthening its place within Canada noted the profound impact of loss in its history, suggesting that unresolved and insufficiently addressed issues of loss lie at the heart of some of its most profound struggles as citizens of Newfoundland and Labrador. This paper brings together ideas and concepts focused on issues of cultural loss and memory within the context of Newfoundland and Labrador in the twenty century.These ideas and concepts revolved around issues of Englishness versus Canadianness same as Dominionship versus Provinceship. Parallelisms that could be counterparted by those outstanding such as: wildlife, and natural resources; migration and diaspora; languages and dialects; communities and resettlement; wars and tragedies; architecture and heritage; cultural representation and identities; nationhood and governance; marginalization and difference; faith and spirituality; and, home, place, and displacement.As an illustrative example, the work by Elizabeth Goudie Woman of Labrador will be considered. A memoir in which in eighty years, the author witnessed radical changes to Labrador, such as the construction of an airport at Goose Bay during the Second World War. Where once there had been pride and contentment in a harmonious relationship with the land, displacement and despair came as the wilderness was overtaken by military and industrial projects. One of her greatest triumphs was her steady pride in Labrador, her “country,” and her ideal of peace among neighbours.

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 imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.051
Threshold uncertainty score0.367

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0190.018
Scholarly communication0.0080.003
Open science0.0010.006
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0040.000

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 head0.015
GPT teacher head0.294
Teacher spread0.278 · 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; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
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

Citations0
Published2020
Admission routes1
Has abstractyes

Explore more

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