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Enregistrement W3195260545 · doi:10.1108/sej-10-2020-0088

Transformational spaces: educators discuss map the system and supporting Canada’s emerging generation of systems thinkers

2021· article· en· W3195260545 sur OpenAlexaffabout
Katharine McGowan, Latasha Calf Robe, Laura Allan, Elinor Bray-Collins, Mathieu Couture, Sarah D. Croft, Antonio Daling, Amy Farahbakhsh, Susan F. Grossman, Sara Hassan, Paul Heidebrecht, Nicole M. Helwig, Michelle Jackett, Jessica Machado

Notice bibliographique

RevueSocial enterprise journal · 2021
Typearticle
Langueen
DomaineBusiness, Management and Accounting
ThématiqueInnovative Approaches in Technology and Social Development
Établissements canadiensToronto Metropolitan UniversityUniversity of British ColumbiaSimon Fraser UniversityHEC MontréalHumber PolytechnicMemorial University of NewfoundlandWilfrid Laurier UniversityUniversity of WaterlooMount Royal University
Organismes subventionnairesnon disponible
Mots-clésTransformative learningTransformational leadershipCompetition (biology)Process (computing)SociologySystems thinkingPublic relationsParticipant observationPedagogyPsychologyPolitical scienceSocial scienceComputer science

Résumé

récupéré en direct d'OpenAlex

Purpose The purpose of this paper is to explore multiple Canadian educators' experiences with the Map the System (MTS) competition, designed to foster and grow systems thinking capacity among students exploring complex questions. The challenge has been an opportunity for social innovation programs (from the nascent to the established) across Canadian post-secondaries to engage both with their own communities and with social innovators internationally, connecting social innovation spaces as part of their third mission. Across the organizations, students valued the interdisciplinary and systems thinking qualities, and organizations benefited from the external competition, there remain questions about organizational engagement in social innovation as a deeply transformative process internally. Design/methodology/approach All Canadian post-secondary institutions who participated in the 2020 MTS competition (17) were invited to a digital roundtable to discuss their experiences. Ten were able to participate, representing a range of post-secondaries (including large research institutions, undergraduate-only universities and colleges). To facilitate discussion, participants met to discuss format and topics; for the roundtable itself, participant educators used a google form to capture their experiences. These were summarized, anonymized and redistributed for validation and clarification. To reflect this collaborative approach, all participant educators are listed as authors on this paper, alphabetically after the organizing authors. Findings For students participating in MTS, they have built both their interdisciplinary and systems thinking skills, as well as their commitment to achieving meaningful change in their community. But MTS arrived in fertile environments and acted as an accelerant, driving attention, validation and connection. Yet while this might align with post-secondary education’s third mission, educators expressed concerns about sustainability, internal commitment to change and navigating tensions between a challenge approach and collaborative work, and internal work and national competition limitations. This complicates the simple insertion of MTS in a post-secondary’s social innovation-related third mission. Research limitations/implications This study was limited to Canadian post-secondaries participating in MTS, and therefore are not representative of either post-secondaries in Canada, or all the MTS participants although Canada is well represented in the challenge itself. Additionally, while the authors believe their approach to treat all participants as authors, and ensured multiple feedback opportunities in private and collectively, this is a deliberate and potentially controversial move away from a traditional study. Social implications More than half of Canadian universities (a subgroup of post-secondaries) had at least one social innovation initiative, but questions have been raised about whether these initiatives are being evaluated internally, or are triggering the kinds of transformative internal work that might be an outcome. Understanding the impact of MTS one example of a social innovation-related initiative can help advance the broader conversation about the place (s) for social innovation in the post-secondary landscape – and where there is still significant work to be done. Originality/value As Canada has only participated in MTS for four years, this is the first inter-institution consideration of its related opportunities and obstacles as a vehicle for transformational social innovation. As well, educators talking openly and frankly to educators reinforces the collaborative quality of social innovation across the post-secondary landscape.

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)0,007
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: aucune
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,920
Score d'incertitude au seuil0,582

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0070,008
Méta-épidémiologie (sens strict)0,0010,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0010,002
Études des sciences et des technologies0,0470,016
Communication savante0,0160,004
Science ouverte0,0020,012
Intégrité de la recherche0,0020,006
Charge utile insuffisante (le modèle a refusé de juger)0,0120,001

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 Opus0,016
Tête enseignante GPT0,230
Écart entre enseignants0,214 · 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
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

Citations1
Publié2021
Routes d'admission2
Résumé présentoui

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