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Record W2770927444 · doi:10.1080/10464883.2017.1343062

Feralness: A Sibling of Wilderness

2017· article· en· W2770927444 on OpenAlexaff
Jane McQuitty

Bibliographic record

VenueJournal of Architectural Education · 2017
Typearticle
Languageen
FieldEnvironmental Science
TopicAmerican Environmental and Regional History
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsWildernessColonialismContext (archaeology)GeographyIdentity (music)PopulationSociologyEthnologyEnvironmental ethicsEcologyArchaeologyAestheticsArt

Abstract

fetched live from OpenAlex

In North America, the classic voice of colonial peoples' connectedness to nature and a wellspring of distinct new identity has been the romantic individualist writing of affinity for wilderness. The truth is, however, that wilderness account makes North Americans, Australians, and New Zealanders culturally blind to an emerging split between wilderness as a land management concept and the state of the wild characteristic of the lands near the cities where 80 percent of us now live. To say land is wilderness, one has to imagine a static systemic context creating conditions that, if it were not for the colonizing project of land conversion, population implantation, mineral exploitation, the land would forever reflect. What about land that runs away from past colonial domestications? What about land that has hybridized with colonial escapee species? Thoroughly worked over lands are fallow on the edges of cities, and new kinds of wilds are emerging upon them. Let me propose that the time is ripe for the sibling of wilderness and for cultural forms exploring and reflecting its stories, for how can you preserve what you cannot name or the culture has never helped you to categorize?

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)0.002
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: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.025
Threshold uncertainty score0.050

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0090.023
Scholarly communication0.0040.006
Open science0.0010.005
Research integrity0.0010.004
Insufficient payload (model declined to judge)0.0070.000

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 head0.009
GPT teacher head0.257
Teacher spread0.248 · 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 designTheoretical or conceptual
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
Published2017
Admission routes1
Has abstractyes

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