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Enregistrement W2590275934 · doi:10.47678/cjhe.v46i3.188047

Book Review of "Reengineering the University: How to be Mission Centered, Market Smart, and Margin Conscious"

2016· article· en· W2590275934 sur OpenAlexaffvenue
Stephen Price

Notice bibliographique

RevueCanadian Journal of Higher Education · 2016
Typearticle
Langueen
DomaineEconomics, Econometrics and Finance
ThématiqueImpulse Buying and Technology Impacts
Établissements canadiensMount Royal University
Organismes subventionnairesnon disponible
Mots-clésMargin (machine learning)Business process reengineeringHigher educationGovernment (linguistics)EconomicsManagementPublic relationsMarketingBusinessPolitical scienceComputer scienceEconomic growth

Résumé

récupéré en direct d'OpenAlex

Massy, William F. (2016). Reengineering the university: How to be mission centered, market smart, and margin conscious. Baltimore: Johns Hopkins University Press. Pages: 288. Price: 41.34 CDN (hardcover).It is my opinion that the single most important issue facing universities, nay, higher education, in North America, is the of cost. From escalating salaries, driven by inflation, to increased pressures to replace reductions in funding, from endowments and government, the balancing of the post-secondary budget has become exceptionally complex. This would be a daunting task if each institution were made up of a single academic unit. of managing institutional budgets when faculties inside the university are varied and unique, is tortuous (Aziz, Shuib, Aziz, Tawil & Nawawi, 2013). William Massy, in his book, Reengineering the university: How to be mission centered, market smart, and margin conscious, approaches this head on.Massy has done an excellent job of explaining the interaction between the university budget, which creates the margin, or the financial return on investment, and the role of teaching and learning being core to the university mission. He spends considerable time helping integrate and resolve the two dimensions of mission and margin. This is not an easy read. technical details are rich and there are many financial concepts that, although Massy takes the time to explain, are complicated. To follow his arguments requires the reader to pay close attention to some very complex financial and higher education concepts. This said, the work is tantalizing in the approach towards improving the university.Reengineering the university is five chapters, plus a conclusion. These six chapters provide the reader with a toolkit that may be used to examine the academic work, primarily teaching, that occurs in post-secondary. Massy is not unfamiliar with the dynamics within a post-secondary institution. Working at Stanford University, he is a former pro- fessor and dean, and served as the chief financial officer. These various experiences provided him with the knowledge and experience to provide an informed analysis that seeks to teach. He states early in his preface:I have tried to combine my analytical knowledge as a microeconomist and management scientist with my many years of experience as a professor, university officer, and consultant to produce a work that is both analytical in approach and intuitive in delivery. (p. ix)The first chapter, Understanding the traditional describes the need for reform due to escalating costs, especially the increased cost of instruction and the reduction in confidence in higher education by the public. Massy explains how universities are different from private enterprise and how the attempt to use the variables of a market economy has not worked for helping to improve the efficiency of universities. He also describes how these differences have resulted in universities engaging in various behaviours that do not work. Massy makes the argument that we've reached a critical juncture where faculty are both accepting that a problem exists and are ready to embrace change. He closes by making the case for strengths of the traditional university, including challenging, cultivating and growing young minds; contributing to research and scholarship; and using the existing infrastructure of campuses, buildings, and human resources.Chapter two, The reengineering challenge provides several reasons that reform is both difficult and has largely failed. This view is not unique, as other have stated that there is a need for research evidence to inform higher education; too often policy and change are due to anecdotal evidence or even beliefs (Levin, 2010). Massy speaks to flaws in the current university that underlie the reasons for the current situation:overcentralization of teaching activity, unmonitored joint production, dissociation of educational quality from cost, lack of good learning metrics, and overreliance on market forces. …

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)0,001
score de la tête « metaresearch » (Gemma)0,004
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: Sans objet
GenreSignal candidat: Commentaire · Signal consensuel: aucune
Score de désaccord entre enseignants0,065
Score d'incertitude au seuil0,217

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0010,004
Méta-épidémiologie (sens strict)0,0010,000
Méta-épidémiologie (sens large)0,0010,001
Bibliométrie0,0020,003
Études des sciences et des technologies0,0010,001
Communication savante0,0050,005
Science ouverte0,0010,001
Intégrité de la recherche0,0020,004
Charge utile insuffisante (le modèle a refusé de juger)0,0650,040

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 Opus0,020
Tête enseignante GPT0,207
Écart entre enseignants0,187 · 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.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeSans objet
Domainenon disponible
GenreCommentaire

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

En bref

Citations0
Publié2016
Routes d'admission2
Résumé présentoui

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