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Paston Letters

2017· other· en· W4253135265 on OpenAlexaff
Valerie Creelman

Bibliographic record

VenueThe Encyclopedia of Medieval Literature in Britain · 2017
Typeother
Languageen
FieldArts and Humanities
TopicMedieval Literature and History
Canadian institutionsSaint Mary's University
Fundersnot available
KeywordsGentryEstateEstate planningHonorPoliticsProperty (philosophy)FifteenthPeriod (music)HistoryGenealogyArtPolitical scienceClassicsLawAestheticsComputer scienceArchaeology

Abstract

fetched live from OpenAlex

The Paston letters represent the largest preserved collection of English correspondence by a fifteenth‐century Norfolk family of landed gentry. Spanning three generations and written against the backdrop of the Wars of the Roses, the letters offer insights into the political and social challenges the Paston family weathered and vividly detail the activities involved in managing their family's household and estate business during this tumultuous period. Margaret Paston's letters in particular document her daily involvement in estate affairs, from composing shopping lists and arranging marriages to defending and protecting Paston property and honor. As a genre of Middle English prose, these letters show one provincial family's pragmatic participation in epistolary culture and the full range of material and literate practices involved in their composition and dispatch. The Paston women's letters likewise shed light on their reliance on and daily engagement with one of the few expressive forms available to them.

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 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)0.001
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 categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.049
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.010
GPT teacher head0.219
Teacher spread0.209 · 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 teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreOther

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
Published2017
Admission routes1
Has abstractyes

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