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Record W2953456049 · doi:10.1177/2043820619850268

Imagining between possible and realized: Creative world-making as politically situated knowledge production

2019· article· en· W2953456049 on OpenAlexafffund
John Paul Catungal

Bibliographic record

VenueDialogues in Human Geography · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicGeographies of human-animal interactions
Canadian institutionsUniversity of British Columbia
FundersUniversity of British Columbia
KeywordsPluralSituatedSociologyIndigenousPower (physics)ColonialismSocial worldsKnowledge productionPostcolonialism (international relations)Feminist theoryEpistemologyAestheticsGender studiesFeminismSocial sciencePolitical scienceLawLinguisticsArtPhilosophy

Abstract

fetched live from OpenAlex

In this rejoinder to Dragos Simandan’s (2019) consolidated theory of the partiality of geographical knowledge, I draw on feminisms of colour, including Black and Chicanx feminisms, to re-place power at the heart of how we understand the situatedness and limitations of how we know, experience and produce worlds. Furthermore, dissatisfied with Simandan’s binary construction of ‘possible worlds’ (in plural) and the ‘realized world’ (in singular), and his call to move beyond ‘ simply social difference’ (my emphasis) in how we theorize the partiality of geographical knowledge, I centre creative practices by marginalized people as practices that conjoin navigating the unjust ‘real’ world and imagining different, more just worlds. The artistic works of Cree/Irish artist Kent Monkman provide powerful examples of art as geographical knowledge that makes room both for critiques of the gender, racial and sexual violence of settler colonial world-making and for the agentive production of alternate worlds by Indigenous people, including through their creative practices.

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)0.011
metaresearch head score (Gemma)0.007
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.992
Threshold uncertainty score0.056

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0110.007
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0020.001
Science and technology studies0.0080.129
Scholarly communication0.0200.016
Open science0.0020.011
Research integrity0.0040.004
Insufficient payload (model declined to judge)0.0040.001

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 head0.034
GPT teacher head0.364
Teacher spread0.330 · 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.

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

Citations4
Published2019
Admission routes2
Has abstractyes

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