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Record W3204226502 · doi:10.29173/css28

Guest Editors’ Introduction to the Special Issue

2021· article· en· W3204226502 on OpenAlex
Bretton A. Varga, Muna Saleh, Cathryn van Kessel

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
venuePublished in a venue whose home country is Canada.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueCanadian Social Studies · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicEducator Training and Historical Pedagogy
Canadian institutionsUniversity of AlbertaConcordia University of Edmonton
Fundersnot available
KeywordsPatriotismRacismIslamophobiaNexus (standard)PoliticsSociologyPrejudice (legal term)Power (physics)Social studiesSocial justiceEconomic JusticeTerrorismSocial scienceCriminologyMedia studiesLawGender studiesPolitical sciencePedagogy

Abstract

fetched live from OpenAlex

As the twentieth anniversary of 9/11 approaches, we contemplate and reflect on the current social/political imagination of terror(ism) and U.S./Canadian patriotism. For educators seeking to unpack 9/11 and its reverberations, it is important to highlight Islamophobic and anti-Muslim racism, discrimination, prejudice, and violence, as well as to consider Muslim students’ lived experiences. (Re)thinking about whose voices are included (or not) within the nexus of sociopolitical power is an important step toward justice and then rapprochement within and beyond the classroom. We consider this assemblage of articles to be a distinctly communal effort that responds to and attempts to disrupt the (perpetual) echoes of terror(ism) which became amplified by/through the events of 9/11.

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.

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)0.001
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: Editorial · Consensus signal: none
Teacher disagreement score0.803
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0030.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.096
GPT teacher head0.383
Teacher spread0.286 · 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