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Record W4405428886 · doi:10.18274/hkww5437

Wild Adaptation

2023· article· en· W4405428886 on OpenAlex
Mark Fortier

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

VenueBorrowers and Lenders The Journal of Shakespeare Appropriations · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicDemographic Trends and Gender Preferences
Canadian institutionsUniversity of Guelph
Fundersnot available
KeywordsAdaptation (eye)BiologyNeuroscience

Abstract

fetched live from OpenAlex

One of the most vexed questions in the understanding of adaptation, and especially, for particular reasons, of adaptation of Shakespeare, is the question of definition. What is, or is not, an adaptation? (What is, or is not, Shakespeare?) While acknowledging the heuristic usefulness of attempts to define adaptation more or less narrowly (it is always interesting to see the specific ways things group together), these theses argue that there is an abiding need, an overriding need, to treat adaptation as a truly expansive and open field of study and activity, no matter how much this might militate against the disciplining of adaptation. Sophisticated analysis of adaptation must entail both systems of categorization and an openness to that which does not fit in these systems. Ultimately, however, the classifiable is no more than a provisional subset in the general and open field of adaptation. This essay explores what Fortier theorizes as "wild adaptation," a form of engagement with prior texts that cannot be policed and refuses containment by reductive definitional paradigms.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.275
Threshold uncertainty score0.532

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
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 head0.058
GPT teacher head0.302
Teacher spread0.244 · 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