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Record W3171381152 · doi:10.1086/713263

Introduction: Colonial Humanities and Criticality

2021· article· en· W3171381152 on OpenAlexaff
Daniela Merolla, Michiel Leezenberg, Victoria Sear, Mark Turin

Bibliographic record

VenueHistory of Humanities · 2021
Typearticle
Languageen
FieldArts and Humanities
TopicPostcolonial and Cultural Literary Studies
Canadian institutionsOkanagan University CollegeUniversity of British Columbia, Okanagan CampusUniversity of British Columbia
Fundersnot available
KeywordsColonialismSubject (documents)HumanitiesCriticismField (mathematics)SociologyPremiseRacismDigital humanitiesHistoryPrejudice (legal term)Political scienceArtLawGender studiesEpistemologyPhilosophyLibrary science

Abstract

fetched live from OpenAlex

Starting from the premise that the humanities are still in urgent need of being decolonized and deprovincialized, this forum, titled “The Rise and Decline of ‘Colonial Humanities,’” offers insights into the development of the humanities disciplines in what are often referred to as “area studies” (a field itself subject to criticism) since the beginning of the nineteenth century. The forum’s perspective on “colonial humanities” acknowledges the violence perpetuated in the name of Euro-American humanities and calls for an in-depth and sustained investigation into the construction of racism and prejudice across our fields. Case studies focus on the “local” development of philology in Turkey (Leezenberg), on critical “coauthorship” with local scholars in literary and historical studies (Berber/Amazigh studies) in Algeria (Merolla), and on the need for increased criticality and self-awareness in the fast-changing field of lexicography (Sear and Turin). The forum is rounded out with a commentary and reflection by Shamil Jeppie.

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)0.006
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: Theoretical or conceptual
GenreCandidate signal: Editorial · Consensus signal: none
Teacher disagreement score0.021
Threshold uncertainty score0.070

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.006
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0070.011
Scholarly communication0.0080.009
Open science0.0010.004
Research integrity0.0040.006
Insufficient payload (model declined to judge)0.0210.002

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 head0.054
GPT teacher head0.213
Teacher spread0.159 · 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
GenreEditorial

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
Published2021
Admission routes1
Has abstractyes

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