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HEALING COMMUNITIES. What if we collectively had the capacity to overcome any crisis in a matter of days? A method for teams of teams to: listen to each other, agree on priorities, put in commons resources, create few but essential and freely adaptable solutions.

2023· dissertation· en· W6982152308 sur OpenAlexaboutno aff

Notice bibliographique

RevueSpectrum Research Repository (Concordia University) · 2023
Typedissertation
Langueen
DomaineBiochemistry, Genetics and Molecular Biology
ThématiqueNuclear Structure and Function
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésCommitPopulationUncannyIllusionObject (grammar)Order (exchange)Action (physics)NegotiationPath (computing)MetaphorProcess (computing)
DOInon disponible

Résumé

récupéré en direct d'OpenAlex

Ever since I was young, I have sought to find how to contribute meaningfully to the community, while being fully myself. Called to different interests than my peers, I began to explore the mysteries of group dynamics. Many cycles of study and practice led me to an awareness: suffering, misery (physical and spiritual), violence, are often generated by stories we learn as children, and pass on through generations. 
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\nI became convinced that, within months, we could ensure that all people could live decently and in harmony, if we dared to listen – literally and symbolically – to our Heart, to the Other’s. We would commit ourselves to a path that celebrates our Humanity, connects us to Nature within and beyond, and nourishes our Souls. 
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\nIndeed, tackling complex, wicked challenges requires abandoning the logic of a machine-body, the illusion of technical solutions built without personal commitment, so that we can raise our collective, human consciousness. This means providing ways for the whole population to listen to their different realities, and to quickly reach a popular consensus on how to overcome these challenges in ways that strengthen solidarity. 
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\nAccording to the creator of Captcha tests, a million people could translate Wikipedia into a new language in 80 hours. Let us imagine what such a group could achieve if they had the capacity to sincerely agree on essential common projects, and implement them in a matter of days – free/libre and open source knowledge and infrastructures that could easily be adopted, reproduced and enriched across territories? 
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\nThis five-part thesis documents six years of intense creation and research that enabled me to design how such a process could unfold. 
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\n* * * 
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\nFirst, I present my journey to the PhD, and how my research took shape through cycles of prototyping. I introduce the idea of the commons, which is to understand that people – not corporations or the state – have all the resources needed to overcome the challenges we face. This builds on the oeuvre of Elinor Ostrom, who showed that ordinary people can self-organise efficiently to preserve resources, and Stefano Rodotà, who pledged that any resource that meets basic needs must be managed in a participatory way, regardless of who owns it. 
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\nSecondly, I talk about Breathing Games, a commons I co-founded to make respiratory health fun. I show how this initiative, which initially objectified the children concerned – by thinking their health in their place –, then opened up a space for young people to share their subjective experience in a playful way that was beneficial to their comrades. I share how an ethic and aesthetic of commoning enabled us to engage over 450 volunteers, and mutualise resources from Canada, Switzerland, France, Italy, and South Korea. 
\n
\nThirdly, I propose four levers to build solidarity-driven ecosystems. We need to: 
\n— bring diverse people together for ludic events to overcome loneliness. For example, the online hackathons that mobilised 150,000 people at the start of the crown-crisis. 
\n— generate collective value to overcome material limitations. For example, the autonomous networks of makers, who shared designs and manufactured over 48 million medical supplies while industry was at a standstill. 
\n— facilitate agreements across teams of teams to overcome power games. For example, the Emerging Change, developed in Quebec schools and a Swiss multinational, enables teams to thrive and excel by establishing a ritual dialogue between the whole team and its leader, thus avoiding competition between individuals. 
\n— revisit collective narratives to break free from self-servitude. For example, challenging the belief that an authority – parent, teacher, employer, politician, caregiver – can take care of our needs better than we can. 
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\nFourthly, I present the Geneva festival ’taking care together’, a nine-day event created in 122 days thanks to 115 co-hosts. I quantify the collective value created by the Breathing Games and the festival at 2.2 million Swiss francs, 4/5 of which was generated by volunteer contributions. 
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\nNext, I provide a step-by-step facilitation method that could help thousands of people coordinate their efforts around a limited number of modular projects. I then outline how this model could re-create education, eradicate systemic corruption, resurrect democracy, and heal our dis-ease when we over-invest in the mind. 
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\nFinally, I summarise what I have learnt, and list about 600 references that inspired me. This creation-as-research can be freely reproduced and enriched (Creative Commons BY-SA licence, editable LaTeX format). 
\n
\nConcordia Salus.

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: Expérimental (laboratoire) · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,531
Score d'incertitude au seuil0,965

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0010,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0010,001
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0010,000
Intégrité de la recherche0,0000,001
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 Opus0,030
Tête enseignante GPT0,289
Écart entre enseignants0,260 · 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'étudeExpérimental (laboratoire)
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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