MétaCan
Menu
Back to cohort
Record W4242784045 · doi:10.1353/uni.0.0404

Editors’ Introduction

2008· article· en· W4242784045 on OpenAlexaboutno aff
Sandra L. Beckett, George Bodmer, Lissa Paul

Bibliographic record

Venue˜The œLion and the unicorn · 2008
Typearticle
Languageen
FieldArts and Humanities
TopicThemes in Literature Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsUnicornGeorge (robot)ExcellenceArt historyArtPerspective (graphical)Performance artHistoryVisual artsLawPolitical science

Abstract

fetched live from OpenAlex

Editors’ Introduction Sandra Beckett, George Bodmer, and Lissa Paul Anyone who has recently boarded or disembarked from a plane at Heathrow in London, Narita in Japan, or Pearson in Toronto, has walked through an airbridge lined with HSBC advertisements. The corridor connecting the plane to the terminal building confronts the traveler with poster-sized groups of paired photographs, each with a single caption. There is a photograph of an old, wrinkled man, once with the caption “Old,” then, the same photograph repeated, but with the caption “Wise,”—then the sequence is reversed: “Wise,” then “Old.” There is also a photograph of a charming, pink-cheeked baby. The caption sequence reads, “”Work,” “Play,” then “Play,” “Work.” The sequences are clever and it is impossible not to reflect, as one transitions from air to land, from one country to another, that what you see depends on how you look. Perspective matters. In this issue of The Lion and the Unicorn, we are very pleased to offer three general essays as well as a cluster of three South African essays, and the fourth annual “Lion and the Unicorn Award for Excellence in North American Poetry” essay, “from brain to heart,” written by this year’s three judges, Angela Sorby, Richard Flynn, and Joseph T. Thomas. As it happens, all the essays, like the HSBC advertisements, invite the reader to consider perspective. Although the South African essays are first in the issue, they will be formally introduced by the guest editor after this brief general introduction. Each of the general essays speaks, in some ways, the unspeakable. Paula Connolly sensitively addresses the complexities of communicating the events of 9/11 in picture books. Ellen Brinks, in “Uncovering the Child in Timothy Treadwell’s Feral Tale,” takes on the shadowy status of the “wild child” flickering between human and beast. And Tison Pugh, speaks the specter of latent cannibalism in L. Frank Baum’s Oz books. The South African cluster, guest edited by Betsie van der Westhuizen, begins with “Cross-Cultural Misreadings,” by Elwyn Jenkins and Elizabeth Muther. The two South African scholars critique a view of their country [End Page v] presented in Apartheid and Racism by Donarae MacCann and Yulia Amadu Maddy. Next, Molly Brown invites us to look at “tokoloshes,” a kind of South African troll or hobbit. And finally, Carole Bloch, editor of a series of multilingual Little Hands books for South African children explains the range of problems associated with attempts to communicate simultaneously in English, Afrikaans, and eleven official tribal languages. Betsie van der Westhuizen will offer additional perspectives in her introduction—which follows. [End Page vi] Copyright © 2008 The Johns Hopkins University Press

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)0.034
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
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 score0.356
Threshold uncertainty score0.919

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.034
Meta-epidemiology (narrow)0.0030.001
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0050.003
Science and technology studies0.0030.001
Scholarly communication0.0100.006
Open science0.0040.003
Research integrity0.0050.006
Insufficient payload (model declined to judge)0.3560.279

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 head0.011
GPT teacher head0.193
Teacher spread0.182 · 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.

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
Published2008
Admission routes1
Has abstractyes

Explore more

Same venue˜The œLion and the unicornSame topicThemes in Literature AnalysisFrench-language works237,207