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Record W2057455581 · doi:10.3138/jsp.34.4.249

My Turn: Reading the Agenda of the 2003 Annual AAUP Directors' Meeting to Discover What's Wrong With University Press Publishing

2003· article· en· W2057455581 on OpenAlexvenueno aff
Malcolm Litchfield

Bibliographic record

VenueJournal of Scholarly Publishing · 2003
Typearticle
Languageen
FieldArts and Humanities
TopicPublishing and Scholarly Communication
Canadian institutionsnot available
Fundersnot available
KeywordsPublishingReading (process)SociologyMedia studiesManagementPolitical scienceEconomicsLaw

Abstract

fetched live from OpenAlex

One of the hardest tasks for my authors is to step out of their disciplinary isolation and give me a one-liner about their book that will make sense to the average intelligent reader. It’s not that these bright people can’t accomplish the task, but after having been trained to communicate in highly specific (and therefore often exclusionary) ways, it can be hard for them to surface long enough to see the big picture. So too I believe that university presses have developed ways of communicating among ourselves that reinforce stereotypes about what we do, who our masters are, and where we believe our activity ranks in the ever-shifting sands of university fiscal priorities. A notable example of this is the meticulously crafted agenda for the annual directors’ meeting held in conjunction with the 2003 annual meeting of the Association of American University Presses (AAUP). At the outset, I offer my apologies to those who crafted the document (they do not deserve to have their words picked apart like this!). Admittedly without full regard to the valuable substance of the discussions at the meeting, I hope to draw attention to the way our presumably innocent use of language is working against us in these troubled times. Battle lines are quite literally drawn by the agenda’s title, ‘Tales from the Front Lines.’ This is to be a meeting for beleaguered warriors eager to continue fighting the good fight.

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)0.010
metaresearch head score (Gemma)0.016
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Science and technology studies, Scholarly communication, Research integrity
Consensus categoriesScholarly communication
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.588
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0100.016
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0020.000
Scholarly communication0.1400.315
Open science0.0040.001
Research integrity0.0000.004
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 head0.032
GPT teacher head0.216
Teacher spread0.184 · 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; both teacher heads agree on what is shown here.

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
Published2003
Admission routes1
Has abstractyes

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