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Enregistrement W4388804349 · doi:10.1353/sgo.2023.a912270

Regional Geography of the United States and Canada, Fifth Edition by Daniel R. Montello, Michael T. Applegarth, and Tom L. McKnight (review)

2023· article· en· W4388804349 sur OpenAlexaboutno aff

Notice bibliographique

RevueSoutheastern geographer · 2023
Typearticle
Langueen
DomaineSocial Sciences
ThématiqueGeographic Information Systems Studies
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésGeographyHistory

Résumé

récupéré en direct d'OpenAlex

Reviewed by: Regional Geography of the United States and Canada, Fifth Edition by Daniel R. Montello, Michael T. Applegarth, and Tom L. McKnight Jon C. Malinowski Regional Geography of the United States and Canada, Fifth Edition. By Daniel R. Montello, Michael T. Applegarth, and Tom L. McKnight. Long Grove: Waveland Press, Inc., 2021. xiii and 602 pp., index. $91.95 paperback ( 978-1-4786-3961-9). eBook available on Google Play, Kindle, and VitalSource. Regional geography is a pillar of the discipline and a staple of undergraduate curricula around the world. In an era of polarization, geographic illiteracy, and the changing economics of the textbook market, we should celebrate a new edition of a regional geography textbook. The first four editions of this text were authored solely by Tom L. McKnight, with the last edition published nearly twenty years ago. With McKnight's passing, this edition adds Dan Montello and Michael Applegarth to update this important option for instructors. In short, despite some drawbacks, it is a worthy update that allows room for teaching discretion. Regional Geography is arranged conventionally after a dry opener. Chapter 1 attempts to provide a basic overview of geography, explaining time zones, the latitude–longitude graticule, and seasons. I doubt that anything in the first half of the introduction will engage a student new to the discipline. The authors then present three excellent, realm-level chapters covering the physical and human geography of the United States and Canada. This section is reworked from past editions and is broader in coverage of human topics. Given McKnight's geology and physical geography background, there is no skimping on the natural environment. For example, three pages are dedicated to continental soil regions. The human geography section, Chapter 3, emphasizes population patterns and migration, with some space dedicated to cultural patterns. It is a good overview of US and Canadian populations. However, I wish they had revisited some key points introduced here in later chapters when addressing specific regions. Following the overview chapters, the concept of the region is explored in its own concise chapter. This is a useful section because the authors introduce vernacular regions and the problematic nature of regional boundaries without getting bogged down in a century of debates within the discipline. The rest of the book comprises fifteen regional chapters of thirty to forty pages each. Kudos for including two chapters on the northern regions in the chapters. Most, but not all, of the chapters start with the physical setting before transitioning to human patterns. Agricultural and industrial patterns are emphasized. Human patterns are generally about half of each chapter, but in my opinion, most regional chapters have missed the opportunity to discuss changing cultural patterns that might appeal to undergraduates. Potash production in Saskatchewan gets about the same space for its "A Closer Look" box as the US–Mexico border. Language and religious patterns seem under-discussed. For example, the discussion of New York City focuses on the urban morphology of the five boroughs and has little focus on ethnic neighborhoods, economic disparities, or religious patterns. [End Page 434] The data in the book are mostly up to date, but given the 2021 copyright date, the book does not include detailed U.S. 2020 Census data. 2018 or 2019 estimates are the norm for the US data. To break up the narrative, over three dozen "A Closer Look" boxes throughout the book offer more context and give instructors an offramp for class discussions and further reading. Some are written by guest experts, such as John Fraser Hart, Audrey Kobayashi, and George Carney. In my own experience as a textbook author, instructors either love or hate text boxes. The ones here cover various excellent topics and float between human and physical issues, but many have no graphics, making them underwhelming and less inviting to the reader. Although heavily illustrated with maps, charts, and photos, the physical copy of the book reviewed is entirely in black and white. This is a shame. Even the eBook version seems to be monochromatic. Complex physical geography maps using only shades of gray and crosshatching are tough on the eyes and often too small to comprehend easily. I doubt students...

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)0,002
score de la tête « metaresearch » (Gemma)0,008
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: Synthèse · Signal consensuel: Synthèse
Score de désaccord entre enseignants0,728
Score d'incertitude au seuil0,540

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0020,008
Méta-épidémiologie (sens strict)0,0020,001
Méta-épidémiologie (sens large)0,0020,001
Bibliométrie0,0060,012
Études des sciences et des technologies0,0010,002
Communication savante0,0050,004
Science ouverte0,0020,002
Intégrité de la recherche0,0020,005
Charge utile insuffisante (le modèle a refusé de juger)0,0380,022

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 Opus0,011
Tête enseignante GPT0,226
Écart entre enseignants0,215 · 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
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

Citations0
Publié2023
Routes d'admission1
Résumé présentoui

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