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Record W3152144648 · doi:10.1353/esc.2017.0048

A Quick Note

2017· article· en· W3152144648 on OpenAlexvenueaboutno aff
Allan Pero

Bibliographic record

VenueEnglish studies in Canada · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicCanadian Identity and History
Canadian institutionsnot available
Fundersnot available
KeywordsCuriosityPublicationTask (project management)Media studiesSociologyPolitical scienceHistoryLibrary scienceLawPublic relationsManagementPsychologyComputer science

Abstract

fetched live from OpenAlex

A Quick Note Allan Pero Iam pleased and honoured to present this double issue of English Studies in Canada, the very first fully shepherded issue of the journal since it moved to the University of Western Ontario in 2017. Needless to say, taking on a journal of this stature after its long and illustrious tenure at the University of Alberta has been a daunting and humbling task for the Western team, and involved a steep learning curve—but it's also been a truly rewarding experience. The opportunity to encounter and read the work of so many exciting and rigorous scholars in our field not only reinforces my commitment to our discipline, but also demonstrates, on an almost daily basis, how rich your contribution continues to be. We are already working on the next number of esc, a special issue that we are hoping to publish by the end of 2019. We thank you for your continued support of English Studies in Canada. We also encourage you to submit your articles for consideration; this journal depends entirely on the vibrance and curiosity of its community of scholars, and we intend to make esc an increasingly interesting and cosmopolitan home for that community's work over the next few years. We hope you'll join us in the effort. [End Page 1] Allan Pero Western University Copyright © 2018 Association of Canadian College and University Teachers

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.838
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.308
Teacher spread0.275 · 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 teacher head, not a consensus.

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

Citations0
Published2017
Admission routes2
Has abstractyes

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