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Enregistrement W2059713004 · doi:10.1353/scp.0.0047

What They Didn’t Teach You in Graduate School: 199 Helpful Hints for Success in Your Academic Career (review)

2009· article· en· W2059713004 sur OpenAlexvenueaboutno aff
Steven E. Gump

Notice bibliographique

RevueJournal of Scholarly Publishing · 2009
Typearticle
Langueen
DomaineMedicine
ThématiqueInnovations in Medical Education
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésMathematics educationGraduate studentsPsychologyMedical educationSociologyPedagogyMedicine

Résumé

récupéré en direct d'OpenAlex

Reviewed by: What They Didn’t Teach You in Graduate School: 199 Helpful Hints for Success in Your Academic Career Steven E. Gump (bio) Paul Gray and David E. Drew. What They Didn’t Teach You in Graduate School: 199 Helpful Hints for Success in Your Academic Career. Sterling, VA: Stylus, 2008. Pp. xxiv, 147. Paper: ISBN-13 978-1-57922-264-2, US$15.95. More than twenty years ago, Linda Brodkey, a specialist in the teaching of writing, observed that ‘academics live their lives in print.’1 It should be no surprise, then, that in Paul Gray and David E. Drew’s book of helpful hints for academics, over one-third of the suggestions are related to writing or scholarly publishing. In fact, three of the six hints in the first chapter, ‘Basic Concepts,’ are directly related to scholarly publishing: ‘The number of papers required for tenure is N + 2, where N is the number you published’ (7); the ‘known people’ in any field are ‘people who write books,’ ‘people who publish papers,’ and ‘people active in their professional societies’ (7); and ‘every paper can be published somewhere’ (8). With this chapter, the authors set the stage to describe the realities of academic life – a world about which most graduate students [End Page 323] ‘have only the vaguest concepts’ (1), and in which writing and publishing can be as common and as important as teaching, research, and service. What They Didn’t Teach You in Graduate School: 199 Helpful Hints for Success in Your Academic Career is a frank and, at times, admittedly irreverent and cynical guide for new faculty members or graduate students anticipating careers in academe. The authors, a professor emeritus of information science (Gray) and a professor of education (Drew), both at Claremont Graduate University in California, offer insights and advice on such general topics as job hunting, teaching and service, research, tenure and academic rank, diversity in academe, collegiality and institutional citizenship, health, and writing and publishing. Recognizing that institutions of higher education in countries as close as Canada and Mexico may follow different academic assumptions and procedures (2), the authors limit the generalizability of their advice to institutions in the United States. Moreover, because the observations are based on the authors’ experiences, research institutions take centre stage – institutions where faculty members engage heavily in research and writing in addition to teaching and service, and where tenure and promotion are determined largely by the quality and quantity of faculty members’ scholarly output. Prefaced by two brief but thoughtful forewords and an introduction, this attractive volume, which includes sixteen amusing and apropos full-page cartoons by Matthew Henry Hall, presents its 199 hints in fifteen chapters and four appendices. Most hints are described in one or two paragraphs, though some include tables or more substantial examples and considerations. Chapters and appendices include anywhere from two to forty-three hints apiece (though the concluding chapter has none); the chapter on ‘Life as an Academic’ includes the most. That particular ideas appear in multiple hints in different sections of the book is a sign not of disorganization but of the ways in which certain overarching considerations affect academic life – and the ‘academic writing life,’ to borrow a concept from Chris Thaiss and Terry Myers Zawacki.2 Specifically, with respect to writing and publishing, the idea of publication as ‘portable wealth,’ the benefits of publishing while still in graduate school, the potential value of co-authorship, how to [End Page 324] become a ‘known’ scholar in a field through publishing and specializing, how academic writing is perceived by different types of readers (editors, reviewers, students, colleagues, members of grant committees), and why good writing is important are concepts that appear in numerous locations throughout the book. Several of these ideas appear in some form in a targeted chapter titled ‘On Publishing,’ which offers nineteen hints wherein the authors also laud the merits of refereed journals, excoriate vanity presses, and briefly explore some of the differences between trade publishers and scholarly presses. As the ‘prize’ for academics (45), tenure underlies several of Gray and Drew’s suggestions. Scholarly publishing is the key, as explained in Hint 40 (paradoxically included...

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction machine sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.

score de la tête « metaresearch » (Codex)0,003
score de la tête « metaresearch » (Gemma)0,012
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesMétarecherche
Catégories consensuellesaucune
DomaineSignal candidat: Incitatifs · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: aucune
GenreSignal candidat: Synthèse · Signal consensuel: Synthèse
Score de désaccord entre enseignants0,997
Score d'incertitude au seuil0,031

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0030,012
Méta-épidémiologie (sens strict)0,0010,001
Méta-épidémiologie (sens large)0,0020,001
Bibliométrie0,0040,005
Études des sciences et des technologies0,0010,001
Communication savante0,0020,003
Science ouverte0,0020,001
Intégrité de la recherche0,0020,002
Charge utile insuffisante (le modèle a refusé de juger)0,0090,003

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,094
Tête enseignante GPT0,385
Écart entre enseignants0,291 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Devis d'étudeSans objet
DomaineIncitatifs
GenreSynthèse

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations2
Publié2009
Routes d'admission2
Résumé présentoui

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