MétaCan
Menu
Back to cohort
Record W4241844280 · doi:10.21659/rupkatha.v2n2.01

Editorial, Vol. 2, No. 2, 2010

2010· article· en· W4241844280 on OpenAlexaboutno aff
Tirtha Prasad Mukhopadhyay

Bibliographic record

VenueRupkatha Journal on Interdisciplinary Studies in Humanities · 2010
Typearticle
Languageen
FieldArts and Humanities
TopicPublishing and Scholarly Communication
Canadian institutionsnot available
Fundersnot available
KeywordsDilemmaEnglish literaturePoliticsHistoryExtension (predicate logic)English languageNew englandGenealogyLiteratureArtLinguisticsPolitical scienceEpistemologyLawPhilosophy

Abstract

fetched live from OpenAlex

The reason we wanted to host articles on New Literature is already a question of a bias or a sense of importance indicated by the history of academic interest in the literature in English.It is also an imperialistic event.The conventional English department, itself an imperialist legacy and forbearer of Anglophone imagination, already faces a dilemma of choice created by the literature produced by the settlers and the colonized peoples in the former colonies of England before the British literature.In one of the most ironical events of the last few centuries, the English language has not only been transformed into a number of variants characteristic of culture and geography of the places far from England, it has also been mutated into tools for creative expressions.In this, the rise of the settlers' English in various parts of the world like Canada, Australia, New Zealand, South Africa points to an important historical fact for English literature.The fact that New Literature in the settlers' new kind of English is an extension or expansion of English literature implies an evolutionary aspect of survival or growth beyond the political and economic process of colonization.

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)0.003
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: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Editorial · Consensus signal: Editorial
Teacher disagreement score0.070
Threshold uncertainty score0.234

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.012
Meta-epidemiology (narrow)0.0030.001
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0030.001
Science and technology studies0.0020.002
Scholarly communication0.0070.003
Open science0.0030.001
Research integrity0.0070.008
Insufficient payload (model declined to judge)0.0700.070

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 head0.080
GPT teacher head0.338
Teacher spread0.258 · 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
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

Citations0
Published2010
Admission routes1
Has abstractyes

Explore more

Same venueRupkatha Journal on Interdisciplinary Studies in HumanitiesSame topicPublishing and Scholarly CommunicationFrench-language works237,207