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Record W2166914855

Becoming better authors.

2004· article· en· W2166914855 on OpenAlexaboutno aff
I B Pless

Bibliographic record

VenuePubMed Central · 2004
Typearticle
Languageen
FieldArts and Humanities
TopicAcademic Writing and Publishing
Canadian institutionsnot available
Fundersnot available
KeywordsCraftPleasureGeorge (robot)White (mutation)PublishingAmbivalenceStyle (visual arts)Media studiesLibrary scienceSociologyArt historyPsychologyHistoryArtComputer scienceLiteraturePsychoanalysisVisual artsChemistry
DOInot available

Abstract

fetched live from OpenAlex

Ideas into Words: Mastering the craft of scientific writing. Elise Hancock. (Pp 151; $18.95.) Johns Hopkins University Press; ISBN 0-8018-7330-4. How to Write a Paper. 3rd Ed. Edited by George M Hall. (Pp 176; £16.95.) BMJ Books; ISBN 0-7279-1728-5. The Chicago Guide to Communicating Science. Scott L Montgomery. (Pp 227; $15.00.) University of Chicago Press; ISBN 0-226-53485. The Elements of Style. 4th Ed. William Strunk Jr, E B White. (Pp 105; $7.95.) Pearson Publishers; ISBN 0-205-313426. Authors are often ambivalent; editors love them; readers revel in them. These are reactions to journal papers that are a pleasure to read. Invariably, such papers are the result of authors who have taken extra steps (often many, many steps) to improve their writing. The time this entails accounts for the ambivalence of authors who may believe that their energies are better spent in other activities. But for all who want to please editors and readers the only path is to improve writing skills. There are several ways to accomplish this goal. One is to fly to Montreal for the fall term and take the course I give at McGill on scientific presentations. If four readers do so that will double the number of students who enrolled for this course in 2003. A second way is to hire …

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.904
Threshold uncertainty score0.578

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
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 head0.038
GPT teacher head0.218
Teacher spread0.181 · 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
Published2004
Admission routes1
Has abstractyes

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