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Record W7035807244

Annual Meeting of the Société Rencesvals American-Canadian Branch December 30, 1978

2015· article· en· W7035807244 on OpenAlexaboutno aff

Bibliographic record

VenueIndiana Magazine of History (Indiana University) · 2015
Typearticle
Languageen
FieldArts and Humanities
TopicConservation Techniques and Studies
Canadian institutionsnot available
Fundersnot available
KeywordsGenerosityConventionPleasureEPICGreat DepressionPower (physics)
DOInot available

Abstract

fetched live from OpenAlex

Ever since the Socit Rencesvals was established in 1955, the American-Canadian Branch has continued to grow.When the current officers of this branch were elected last year, it was hoped that this increase in membership-which in some years has surpassed a ten percent annual growth-could be continued.Three factors, however, made that difficult.The first is that each year following a triennial convention there is a normal decrease in the number of new memberships: those who were thinking of joining the society would either have joined the previous year in time for the international congress or else have decided not to join at all.Secondly, the current depression in jobs available for young medievalists in North America makes it difficult for the Socit Rencesvals to attract new members.Finally, the high growth of the past means the society is nearing a point of maximum expansion.With few exceptions, virtually every major scholar in North America working with the medieval Romance epic is now a member of the Socit Rencesvals.Given those factors, it is a pleasure to report that during the past twelve months membership in the American-Canadian branch has increased by 58 percent, from 125 to 197.Those figures include an individual membership increase from 114 to 173 (52 percent) and an institutional membership increase from 11 to 24 (118 percent).The American-Canadian Branch now has approximately 41 percent of the entire membership of the Socit Rencesvals and remains, then, the largest of the eleven national branches of that organization.To a great extent that growth has been made possible through the generosity of the universities of Alabama and Manitoba, which have 159

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)0.000
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: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.688
Threshold uncertainty score0.916

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.001
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 head0.037
GPT teacher head0.203
Teacher spread0.166 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreEmpirical

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
Published2015
Admission routes1
Has abstractyes

Explore more

Same venueIndiana Magazine of History (Indiana University)Same topicConservation Techniques and StudiesFrench-language works237,207