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Record W2040577582 · doi:10.1177/1206331209358348

Planting the Nation: Tree Planting Art and the Endurance of Canadian Nationalism

2010· article· en· W2040577582 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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueSpace and Culture · 2010
Typearticle
Languageen
FieldSocial Sciences
TopicCanadian Identity and History
Canadian institutionsUniversity of Saskatchewan
Fundersnot available
KeywordsNationalismContext (archaeology)Gender studiesWhite (mutation)SociologyHistoryPoliticsPolitical scienceLawArchaeology

Abstract

fetched live from OpenAlex

Planting trees under a piece-rate wage scheme is widely recognized in Canada as a veritable national “rite of passage” for young,White, middle-class university students and travelers. Canadian artists Sarah Ann Johnson, Lorraine Gilbert, and Althea Thauberger have received popular and critical acclaim for their artistic representations of the “tree planting experience” in Canada. In this article, the authors critically examine tree planting art—and its reception—and argue that it constitutes the most recent incarnation of art that links nature and nationalism together in the Canadian context. Following Catriona Sandilands incisive reflections on nature and nationalism in Canada, it is argued that the artists in question, and their various commentators, enshrine tree planting as an obligatory passage point through which White middle-class subjects can access both the “pioneering” moments of the nation and the promised greener tomorrow of Canada’s future. The connections made by the artists between nature and the nation are by no means innocent, as the authors aim to suggest, but rather, rely on a liberal-individualist account of labor in which the social dynamics of gender, class, and race are erased.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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: none
Teacher disagreement score0.887
Threshold uncertainty score0.949

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
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 head0.007
GPT teacher head0.196
Teacher spread0.189 · 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