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Record W4402604332 · doi:10.4324/9781003295129-32

Absented Presence

2024· book-chapter· en· W4402604332 on OpenAlexaboutno aff
Pamela Edmonds

Bibliographic record

Venuenot available
Typebook-chapter
Languageen
FieldSocial Sciences
TopicCaribbean history, culture, and politics
Canadian institutionsnot available
Fundersnot available
KeywordsComputer science

Abstract

fetched live from OpenAlex

A particular displacement sets African Canadian culture apart from both Canadian (Western) art historical discourse and broader theorizations regarding Black art and culture more globally. While Black people date their presence in the country from as early as the 1600s, blackness in Canada is often falsely perceived as a recent phenomenon. The impossibility of imagining Black and Canadian (itself a notoriously inexpressible quality) is continually made evident, even as official nation-state policies like multiculturalism seem to signal otherwise. Given its perpetual struggle against erasure and exclusion, Black Canadian culture occupies a contested space, or a particular “absented presence.” This chapter explores how a new generation of African Canadian artists, curators and theorists are negotiating this complex reality in which the articulation of ambiguous and contradictory elements becomes the very possibility of opening up a new space of cultural practice. The text touches on the important work of archiving Black diasporic art and art history in Canada as it evolved around the political impetus of multiculturalism and cultural diversity in Canadian arts institutions beginning in the late 1980s. This includes recognition of more recent histories of activist organizing and institutional engagement across the country, especially since the global rise of the #Black Lives Matters movement in later 2000s.

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: Other · Consensus signal: Other
Teacher disagreement score0.804
Threshold uncertainty score0.394

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0210.016
Scholarly communication0.0110.004
Open science0.0020.006
Research integrity0.0020.005
Insufficient payload (model declined to judge)0.0230.002

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 head0.032
GPT teacher head0.294
Teacher spread0.261 · 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
GenreOther

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
Published2024
Admission routes1
Has abstractyes

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