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Record W4409976629 · doi:10.21983/p3.0051.1.00

thN Lng Folk 2go

2013· book· en· W4409976629 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

VenuePunctum Books · 2013
Typebook
Languageen
FieldArts and Humanities
TopicMedieval Literature and History
Canadian institutionsConcordia University
Fundersnot available
KeywordsArtHistory

Abstract

fetched live from OpenAlex

Neomedievalisms are cultural practices that breathe a bouquet of premoderns as permanent rehearsals of coming events. Where medievalists may be prone to police the post-medieval weald for inauthentic medievalisms, neomedievalists embrace the articulation and mobilisation of metahistorical anachronisms. To the medievalist, medievalisms provide powerful indexes that reveal how post-medieval societies have variously imagined ‘little middle ages’ to suit modern agendas. To the neomedievalist, medievalisms are theory-fictions that facilitate ludic speculation on non-modern futurities. While neomedievalist theories have emerged in a variety of fields since the early 1970s — notably in cultural studies of medievalisms, international relations and literary theory — there are few applications that synthesise and put the methodologies of these diverse fields into practice. thN Lng folk 2go applies this extant scholarship as an extradisciplinary practice, dramatising the neomedieval turn in (quasi)objects, persons, work, education, travel, food, ethnicity, media, art, hypereconomics and technology. This speculative journey is ghost authored by a trinity of neomedievalist narrators — Journeyman, Anchorite and Host — each relic-ing their own curious neomedieval futurities

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.413
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0260.006

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 head0.024
GPT teacher head0.186
Teacher spread0.161 · 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