MétaCan
Menu
Back to cohort
Record W4362572756 · doi:10.22190/full210726011k

TEACHING ANGLO-AMERICAN CULTURE AT THE ENGLISH DEPARTMENT: THE PAST, THE PRESENT AND THE FUTURE

2021· article· en· W4362572756 on OpenAlexaboutno aff
Ana Kocić Stanković, Sanja Ignjatović

Bibliographic record

VenueFacta Universitatis Series Linguistics and Literature · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicReligious, Philosophical, and Educational Studies
Canadian institutionsnot available
Fundersnot available
KeywordsIrishContext (archaeology)SociologyPoliticsPedagogyCulture of the United StatesMedia studiesSocial sciencePolitical scienceHistoryLinguisticsLaw

Abstract

fetched live from OpenAlex

Following the example of the European and American universities in the last three decades, the English Department of the Faculty of Philosophy in Niš has introduced seven courses dealing with the particulars of foreign cultures - British, American, Canadian, Australian, Irish, Scottish and African American studies - all evolving over the years to encompass both the historical and the contemporary socio-political contexts necessary for educating language and literature students - future teachers - and provide them with the background knowledge indispensable for teaching language and literature in context. At the English Department, the mandatory introductory courses in cultural studies are complemented by electives that provide a deeper understanding of both the theoretical concepts and theories pertaining to cultural studies, and the specifics of individual Anglo-American nations and their cultures.

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)0.001
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: Empirical · Consensus signal: Empirical
Teacher disagreement score0.025
Threshold uncertainty score0.049

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0070.004
Scholarly communication0.0070.003
Open science0.0010.002
Research integrity0.0010.004
Insufficient payload (model declined to judge)0.0050.001

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 head0.006
GPT teacher head0.247
Teacher spread0.241 · 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
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

Citations1
Published2021
Admission routes1
Has abstractyes

Explore more

Same venueFacta Universitatis Series Linguistics and LiteratureSame topicReligious, Philosophical, and Educational StudiesFrench-language works237,207