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Record W2550481103 · doi:10.1515/texmat-2016-0005

Here Be Monsters: Imperialism, Knowledge and the Limits of Empire

2016· article· en· W2550481103 on OpenAlexaff
Karen E. Macfarlane

Bibliographic record

VenueText Matters · 2016
Typearticle
Languageen
FieldArts and Humanities
TopicPostcolonial and Cultural Literary Studies
Canadian institutionsMount Saint Vincent University
Fundersnot available
KeywordsEmpireCategorizationState (computer science)AlienSociologyAestheticsEpistemologyBritish EmpireSpace (punctuation)Sociology of scientific knowledgeLawPhilosophyPoliticsPolitical scienceComputer science

Abstract

fetched live from OpenAlex

It has become a truism in discussions of Imperialist literature to state that the British empire was, in a very significant way, a textual exercise. Empire was simultaneously created and perpetuated through a proliferation of texts (governmental, legal, educational, scientific, fictional) driven significantly by a desire for what Thomas Richards describes as “one great system of knowledge.” The project of assembling this system assumed that all of the “alien” knowledges that it drew upon could be easily assimilated into existing, “universal” (that is, European) epistemological categories. This belief in “one great system” assumed that knowledges from far-flung outposts of empire could, through careful categorization and control, be made to reinforce, rather than threaten, the authority of imperial epistemic rule. But this movement into “new” epistemic as well as physical spaces opened up the disruptive possibility for and encounter with Foucault’s “insurrection of subjugated knowledges.” In the Imperial Gothic stories discussed here, the space between “knowing all there is to know” and the inherent unknowability of the “Other” is played out through representations of failures of classification and anxieties about the limits of knowledge. These anxieties are articulated through what is arguably one of the most heavily regulated signifiers of scientific progress at the turn of the century: the body. In an age that was preoccupied with bodies as spectacles that signified everything from criminal behaviour, psychological disorder, moral standing and racial categorization, the mutable, unclassifiable body functions as a signifier that mediates between imperial fantasies of control and definition and fin-de-siècle anxieties of dissolution and degeneration. In Imperial Gothic fiction these fears appear as a series of complex explorations of the ways in which the gap between the known and the unknown can be charted on and through a monstrous body that moves outside of stable classification.

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)0.005
metaresearch head score (Gemma)0.007
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: Empirical · Consensus signal: none
Teacher disagreement score0.024
Threshold uncertainty score0.069

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0160.076
Scholarly communication0.0150.016
Open science0.0010.007
Research integrity0.0040.007
Insufficient payload (model declined to judge)0.0060.001

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 head0.035
GPT teacher head0.248
Teacher spread0.214 · 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

Citations6
Published2016
Admission routes1
Has abstractyes

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