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Enregistrement W4408744665 · doi:10.1111/rec.70024

Review: Reconciliation in a Michigan Watershed: Restoring Ken‐O‐Sha. By Gail GunstHeffner and David P.Warners (2024) Michigan State University Press, 283 pages

2025· article· en· W4408744665 sur OpenAlexaboutno aff
Daniel C. Laughlin

Notice bibliographique

RevueRestoration Ecology · 2025
Typearticle
Langueen
DomaineEnvironmental Science
ThématiqueRangeland and Wildlife Management
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésState (computer science)WatershedEnvironmental ethicsComputer sciencePhilosophyAlgorithm

Résumé

récupéré en direct d'OpenAlex

‘Do unto those downstream as you would have those upstream do unto you Living in a world of wounds was just made a little easier after reading Heffner and Warners' uplifting yet challenging book on reconciliation ecology. Reconciliation ecology is a field of study that focuses on biodiversity conservation and restoration in human-dominated ecosystems. This story focuses on the restoration of a degraded and desecrated watershed in western Michigan, but speaks broadly about our current environmental crisis and offers promising solutions. Ecological restoration of degraded ecosystems needs more than just scientific expertise, it requires all the people in a shared place, including rural, urban, wealthy, poor, Indigenous, and immigrant, to understand each other and work together to restore wild and functioning ecosystems. The book starts with the contextual foundations of their place by describing the marvelous geological context of the watershed and its diverse temperate forests. The authors recount the lifestyles of Indigenous inhabitants who called this place home and describe the cruel history of settlement and the collision of worldviews between the Ottawa and European immigrants. The authors identified the lack of respect for both the native people and the land as the ultimate cause of environmental degradation, which includes loss of riparian vegetation and channelization, resource extraction, high sediment loads, E. coli contamination, nutrient pollution, thermal pollution, and toxic substances linked to stormwater runoff. For many centuries, the creek was known to the Anishinaabe as Ken-O-Sha, Water of the Walleye, for its clear rapids and productive fishery that sustained their communities. Now, its name reflects the extractive gypsum industry that is just one of many reasons the stream's water is polluted and dangerous to swim in. A grassroots organization called the Plaster Creek Stewards, kindled by the authors, developed a bold vision to restore the degraded watershed. The authors took their role as educators seriously by engaging directly with the local community. This was risky for two academics because these activities are not always valued by university administrators, but they recognized early on in the project that the only way to restore the water was to connect people across the watershed. It is a marvelous example of transdisciplinary scholarship between a social scientist with expertise in environmental justice (Gail Heffner) and a plant ecologist with expertise in restoration ecology (Dave Warners). The book describes six general strategies for implementing reconciliation ecology through education, research, on-the-ground restoration, establishing upstream-downstream connections, engaging faith communities, and developing future environmental leaders. Much of the groundwork involved native seed collection, raising thousands of seedlings, and outplanting seedlings in both large and small restoration projects. They demonstrate how much can be accomplished when watershed residents are invited to assist with planting trees and sedges, collecting data, and maintaining floodplains, all the while building a strong sense of community. While the title emphasizes that the work took place in a local Michigan watershed, the themes are international in scope. We all coexist with people from many educational, economic, ethnic, and spiritual backgrounds and these differences tend to divide people. This book shows how the Plaster Creek Stewards aimed to break down these differences to teach people that they are all united by the water that flows through their neighborhoods. Through humorous examples of their own mistakes and real quotes from local citizens that awoke to their own surroundings, this brutally honest and impassioned portrayal of the hard and good work that is needed to repair the land and our relationship to it should be required reading for any restoration ecologist who seeks to live an examined life and understand their place in their community and on this planet. Wendell Berry transformed the Golden Rule to apply to watershed management in the epigraph above. Let us also heed the words of Edwin Markham, ‘We have committed the Golden Rule to memory; now let us commit it to life’.

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 distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,000
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut 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: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,259
Score d'incertitude au seuil0,499

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0000,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

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 Opus0,007
Tête enseignante GPT0,208
Écart entre enseignants0,202 · 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 tête enseignante, 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
GenreEmpirique

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
Publié2025
Routes d'admission1
Résumé présentoui

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