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Record W4410872547 · doi:10.63997/jct.v38i1.1063

Desire, Interspecies Love, and Becoming-Animal: Reading “The Overstory” in Social Studies Education

2023· article· en· W4410872547 on OpenAlex

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.

Bibliographic record

VenueJournal of Curriculum Theorizing · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicEducator Training and Historical Pedagogy
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsReading (process)SociologyPsychologyLinguisticsPhilosophy

Abstract

fetched live from OpenAlex

This article springs from our readings and re-readings of The Overstory (Powers, 2018), a text that moved us and changed us. In this article, we conceive of The Overstory as an affective aesthetic text, agentic in its capacity to jolt readers awake and precipitate ontoepistemological swerves in new and unexpected directions. We build from visions of textual engagements that bring a reader to life, disclosing new pathways and possibilities for how to be, feel, and know one another in the world, a world replete with ethical responsibilities, matterings, and entanglements that stretch far beyond the human. Disassembling The Overstory, we string together particular threads with theory and our own engagements with the novel, offering speculative curriculum/classroom futures—visions of what agentic texts like The Overstory can quite literally do (open up, bind together, create, shape, and so on) in social studies education.

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.515
Threshold uncertainty score0.400

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
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 head0.153
GPT teacher head0.444
Teacher spread0.291 · 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