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Enregistrement W7056422147

Facing personal and environmental security challenges in post-conflict settings: The case-study of the Democratic Republic of the Congo

2018· book-chapter· en· W7056422147 sur OpenAlexaboutno aff

Notice bibliographique

RevueIRIS eCampus Telematic University (Università degli Studi eCampus) · 2018
Typebook-chapter
Langueen
DomainePhysics and Astronomy
ThématiqueAdvanced Frequency and Time Standards
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésDemocracyPoliticsGovernment (linguistics)Human rightsImmigrationCivil society
DOInon disponible

Résumé

récupéré en direct d'OpenAlex

Since , the Democratic Republic of the Congo (ex Zaire) has been caught into geostrategic battles, in particular in the Kivu region. The origin of those conflicts can be traced back to the insurrection of the Banyamulenge for the recognition of some of their denied civil and political rights that occurred in the aftermath of the Rwandan genocide. Some historians argue that the Banyamulenge are ethnic Tutsis, originally from Rwanda, who emigrated to the Kivu region prior to the colonial period. Others suggest that they arrived in Congo after the country had become a Belgian colony in , which would have disqualified them from the right to control communal land after the country’s independence, following the  Congolese constitution. Despite the political deals recognizing their previously denied civil and political rights signed after the last two wars (– and –), reports by Freedom House, the United Kingdom Home Office and the Immigration and Refugee Board of Canada suggest that some Banyamulenge are perceived by other Congolese citizens as the main responsible of the Congo crisis. The purpose of the first part of this paper is twofold. Firstly, it seeks to understand the extent to which the post–colonial borders of the Democratic Republic of the Congo, in particular of its Kivu region, account for the recent armed conflicts between Congo and Rwanda, and secondly, it will examine the strengths and weaknesses of the measures adopted by the Congolese government for the recognition of the Banyamulenge’s political and civil rights from a conflict prevention perspective. These goals will be achieved through a review of available literature on the topic. The second part of the paper will cover aspects of emergencies linked to a Sustainable and Responsible Development in the Democratic Republic of Congo. In fact, Congo is one of the richest countries in the world in terms of gold and diamond mines, important minerals in the electronics industry such as Coltan, and in terms of biodiversity — flora and fauna. However, Congo is also one of the world’s most troubled and poorest countries. The major part of the rebels’ activities consists of abuses against civilians and illegal exploitation of natural resources, be they metals, ivory or wood. During the civil war in Rwanda, in the early nineties, over half a million of Rwandan refugees were forced by the violence of the fighting to take refuge in the Virunga National Park in the Democratic Republic of Congo: the forests were plundered of their timber and wildlife; even the mountain gorillas, endangered species, were killed and used as food. It should be noted that in the north of the Democratic Republic of Congo there is one of the world’s largest areas of the equatorial forest, hence, very important in the fight against climate change. One aspect that is often not fully taken into account in the study and analysis of conflicts is the fact that in addition to being a human and economic catastrophe, conflicts represent an ecological disaster.

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 candidatesMéta-épidémiologie (sens strict)
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Qualitatif · Signal consensuel: Qualitatif
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,131
Score d'incertitude au seuil1,000

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0000,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0010,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0010,001
Communication savante0,0000,000
Science ouverte0,0010,001
Intégrité de la recherche0,0000,001
Charge utile insuffisante (le modèle a refusé de juger)0,0010,000

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 Opus0,014
Tête enseignante GPT0,201
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 tête enseignante, pas un consensus.

Devis d'étudeQualitatif
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
Publié2018
Routes d'admission1
Résumé présentoui

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