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A Student In The Forest: An explorative application of the framework of transition management for sustainability transitions in forest governance in Kosovo

2023· article· en· W7062298323 sur OpenAlexfundno aff

Notice bibliographique

RevueKTH Publication Database DiVA (KTH Royal Institute of Technology) · 2023
Typearticle
Langueen
DomainePhysics and Astronomy
ThématiqueParticle Detector Development and Performance
Établissements canadiensnon disponible
Organismes subventionnairesMinistry of EnvironmentEuropean CommissionUnited States Agency for International DevelopmentManitoba Agriculture, Food and Rural DevelopmentStyrelsen för Internationellt UtvecklingssamarbeteUnited Nations Development Programme
Mots-clésCorporate governanceTransition management (governance)SustainabilityWork (physics)Transition (genetics)Language changeForest managementSustainable developmentNetwork governance
DOInon disponible

Résumé

récupéré en direct d'OpenAlex

Contemporary and future societies are facing a myriad of challenges, some of which are throwing into question the future viability of humanity on Planet Earth. These challenges are complex and systemic, and to solve them we must transition to more sustainable ways. Increasingly, researchers have a role to play in not only researching transitions but also facilitating transition through research design which postulates closer engagement in practical contexts and empowering actors of governance to identify pathways for transition. Transition management offers a framework for those interested in bringing about such transitionary potential through research, and potentially offers a tool for students interested in using their university work as a means to bring about transition. This study applies transition management framework using Kosovo’s forest governance as a case study asking the question: How can Kosovo transition towards more sustainable forest governance? The paper finds that forest governance in Kosovo is highly chaotic and inefficient. Issues of lack of capacity, competencies, expertise as well as knowledge are coupled with legal framework which does not allow for local ecological contexts nor local needs to produce a regime of governance subject to environmental degradation, corruption and contestation. Moreover, the absence of capacity on both central and local levels means that the regime configuration is very weak and malleable, and niches have potential to bring about transitions in regime configurations. For Kosovo, moreover, it finds that operative activities are not only possible but desirable, and that actors engaged in forest governance have good conditions and a receptive society for transition. None of the actors which participated in the study were happy with the situation and the need for change is well understood. The challenge for Kosovo is thus identified as how best to facilitate participation for transition, how best to balance centralised vs. decentralised governance, as well as how best to facilitate learning through both raising awareness and listening. These issues are found to be best pursued collectively with wide participation. It identifies three suggestions for transitions which are aimed at bolstering and streamlining existing niche innovations in Kosovo: i) participatory forest governance plans, ii) a forest community centre as well as iii) citizen science initiatives. Lastly, it reflects on the process of involved, participatory and complexity-oriented research to address complex issues, as well as the merit of transition management. It finds that whilst epistemologically diverse and more action-oriented research is important and productive for students of Sustainable Development, even necessary, the transition management framework is difficult to implement, cumbersome and possibly not possible for students. Whilst strategic, tactical and reflexive activities are possible, operative activities are more difficult and exposes the weak standing of students within the politics of environmental governance.

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)0,001
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: Observationnel · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,528
Score d'incertitude au seuil0,338

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0010,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,002
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0010,000
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 Opus0,017
Tête enseignante GPT0,294
Écart entre enseignants0,277 · 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'étudeObservationnel
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
Publié2023
Routes d'admission1
Résumé présentoui

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