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Record W4252944478 · doi:10.1353/tfr.2010.0070

From the Editor’s Desk

2010· article· en· W4252944478 on OpenAlexaboutno aff
Edward Ousselin

Bibliographic record

Venue˜The œFrench review · 2010
Typearticle
Languageen
FieldSocial Sciences
TopicSocial Sciences and Governance
Canadian institutionsnot available
Fundersnot available
KeywordsHonorExcellenceInstitutionFrenchMedia studiesClassicsEditorial boardHistorySociologyLibrary scienceLawPolitical scienceArtHumanities

Abstract

fetched live from OpenAlex

After five years as Review Editor, it is at once a humbling and an exhilarating task to begin serving as Editor in Chief of the French Review. Humbling, because Chris Pinet is a tough act to follow, and because one of the Editor’s main duties is to maintain a tradition of editorial excellence that stretches back to the founding of the journal in 1927. Exhilarating, because the French Review is not only one of the best scholarly journals in the world, it has a special place in French and Francophone studies. As an AATF publication, as the most widely read journal in the field, it is in many ways la vitrine of our profession. At a personal level, to be entrusted with the general management of such an institution is without a doubt the greatest honor of my career. By way of introducing myself, let me briefly say that I spent part of my childhood in Senegal and in Côte d’Ivoire, that I was later a lycéen in Tours, a student at the Université François-Rabelais, and a teacher at the Institut de Touraine. I have now been living in the United States for two decades. Having studied at the University of Kentucky and at Ohio State University, I now teach French film and culture at Western Washington University— which, since I am often asked, is in Bellingham (in between Seattle and Vancouver). Although this is my first year as Editor, there are already several people I have to thank. Wynne Wong, the former Managing Editor, was very helpful during the period of transition. As the person who now has the most institutional memory within the editorial team, Ronnie Moore, our Typesetter, has been consistently dependable and effective. Jayne Abrate and Ann Sunderland, respectively Executive Director and President of the AATF, have been very supportive. I would especially like to thank Chris Pinet, who during his years of service as Editor in Chief painstakingly maintained very high standards for the French Review, and whose advice has been invaluable. His influence will continue to be felt, since most of Vol. 84 and part of Vol. 85 are the result of his planning and scheduling. This is a good time to remind our readers, and especially those who wish to write articles and reviews, that work on an issue of the French Review begins over a year before its publication. Our journal has an excellent record in terms of evaluating submitted articles and replying to authors in a timely fashion. However, editorial and printing deadlines are set well before an issue is mailed to our readers. Since several colleagues have asked me about the process and the likelihood of publishing in the French Review, I would like to make two apparently contradictory statements: our journal is very selective (nearly two thirds of the submitted articles are not accepted for publication); and yet, more colleagues should try to publish (both articles and reviews) in the French Review. To continue in this seemingly paradoxical vein, there are advantages— and here I speak from personal experience—to receiving a rejection letter from the Editor of the French Review. The evaluation process is thorough, relatively quick, and accomplished by some of the best scholars in their fields. The (blind) evaluations which are sent on to the authors provide detailed comments and suggestions that are useful to those who wish to revise and resubmit their manuscripts. Most of the articles that actually are accepted also require considerable rewriting, as a result of the high level of quality demanded by our evaluators. Here again I speak from personal experience, having submitted fifteen articles to the French Review over the years. The numerous evaluations I received, which pointed 273 From the Editor’s Desk 274 FRENCH REVIEW 84.2 out weaknesses and called for improvements, helped me to improve my scholarship and my writing. As for the rejection letters, well, let’s say they build character (they can also, through the process of rewriting, lead to publications in other journals). I am therefore in a good position to encourage more colleagues to try to publish in the French Review. Our evaluation process, while it...

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.015
metaresearch head score (Gemma)0.114
Version: metacan-v3-hybrid-931329e0061cValidation 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: Editorial · Consensus signal: Editorial
Teacher disagreement score0.192
Threshold uncertainty score0.641

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0150.114
Meta-epidemiology (narrow)0.0030.002
Meta-epidemiology (broad)0.0050.003
Bibliometrics0.0050.004
Science and technology studies0.0020.002
Scholarly communication0.0210.010
Open science0.0060.003
Research integrity0.0110.015
Insufficient payload (model declined to judge)0.1920.283

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 head0.028
GPT teacher head0.326
Teacher spread0.299 · 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 source (direct Gemma or distilled Codex), not a consensus.

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

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
Published2010
Admission routes1
Has abstractyes

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Same venue˜The œFrench reviewSame topicSocial Sciences and GovernanceFrench-language works237,207