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Record W3169373056 · doi:10.7202/1076376ar

Beyond Anti-Conquest: Unearthing the Botanical Archive with Locative Media

2021· article· en· W3169373056 on OpenAlexaffvenue
Jill Didur

Bibliographic record

VenueIntermédialités Histoire et théorie des arts des lettres et des techniques · 2021
Typearticle
Languageen
FieldArts and Humanities
TopicHistorical Studies and Socio-cultural Analysis
Canadian institutionsConcordia University
Fundersnot available
KeywordsAffordanceCONQUESTColonialismSubject (documents)Frame (networking)HistoryAestheticsSociologyVisual artsMedia studiesArtArchaeologyComputer scienceAncient historyWorld Wide Web

Abstract

fetched live from OpenAlex

This article introduces the Alpine Garden MisGuide / Le Jardin alpin autrement, a locative media project that endeavours to bring the complex cultural and historical insights of the paper archive on botanical exploration into dialogue with the embodied experience of visiting the living archive of contemporary botanic gardens. Recently created mobile guides to botanic gardens tend to fall back on the discourse of “anti-conquest”—where the colonial subject claims innocence even as s/he subordinates the other to their gaze—to frame their collections for the public. Taking a decolonial approach, this essay explores how the affordances of the MisGuide’s locative platform presents opportunities to challenge innocent or nostalgic presentations of botanic gardens’ collections and engage garden visitors in a more complex account of the influence of colonialism in the history of gardens and the environment.

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)0.009
metaresearch head score (Gemma)0.012
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.024
Threshold uncertainty score0.047

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0090.012
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0040.003
Science and technology studies0.0110.041
Scholarly communication0.0240.023
Open science0.0020.016
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0080.001

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 head0.027
GPT teacher head0.260
Teacher spread0.232 · 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 designQualitative
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

Citations1
Published2021
Admission routes2
Has abstractyes

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