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Enregistrement W2966951185 · doi:10.33137/jaste.v10i1.32917

Mobilizing Altruistic Civic Actions Through School Science

2019· article· en· W2966951185 sur OpenAlex
Larry Bencze

Pourquoi ce travail est dans la base

Une base qui oublie comment elle a trouvé un travail ne peut pas être vérifiée. Voici les voies qui ont admis celui-ci.

affAu moins un auteur déclare une institution canadienne dans l'instantané OpenAlex épinglé.
venuePublié dans une revue dont le pays d'attache est le Canada.

Notice bibliographique

RevueJournal for Activist Science and Technology Education · 2019
Typearticle
Langueen
DomaineEarth and Planetary Sciences
ThématiqueEarth Systems and Cosmic Evolution
Établissements canadiensUniversity of Toronto
Organismes subventionnairesnon disponible
Mots-clésContext (archaeology)Environmental ethicsPublic relationsPower (physics)Political scienceArgument (complex analysis)DemocracySociologyPolitical economyPoliticsLaw

Résumé

récupéré en direct d'OpenAlex

Whether or not people in advantages contexts around the globe recognize it, it seems clear that our world is in serious peril. While small fractions of populations enjoy safety, basic comforts and many luxuries, increasingly more people are suffering from job insecurities, a range of health problems and manipulation facilitated by mass surveillance systems. Meanwhile, as few benefit, most of us are threatened by devastating climate change, environmental spoilage and species losses — all apparently undermined by systematic democratic assaults. Although network conceptions of phenomena may suggest distribution of responsibilities for such ills, much data and argument place considerable blame on few rich pro-capitalist individuals (e.g., financiers) and groups (e.g., corporations, think tanks and transnational trade organizations). Given collusion of governments in such social and ecological injustices, it appears extremely necessary that power in masses of people be rallied to critically interrogate actions of powerful entities and develop and take social actions that may lead to increases in social justice and environmental wellbeing. An important context, in light of roles of fields of science and technology in enactment of power, for promotion of such critical and action-oriented civic engagement is school science. Such roles have, indeed, been acknowledged — at least in part — for about the last half-century through ‘science-in-context’ educational domains like ‘STSE’ (Science, Technology, Society, Environment) education. Such more contextualized approaches have, however, been marginalized in most contexts. They are either given little attention or treated in somewhat ‘token’ ways (given severity of harms) by emphasizing individual — albeit reasoned — choices, which happen to be a priority of many capitalists. Marginalization of potential critical and action-oriented science education seems to have, meanwhile, dramatically increased with recent advent of ‘STEM’ (Science, Technology, Engineering and Mathematics) education initiatives — many of which prioritize teaching and learning of ‘products,’ such as laws, theories and innovations, of STEM fields and skills to develop them, at expense of educating students about problematic STSE relationships and preparation for possibly-rectifying actions. Given its hegemonic influences, as discussed here, one approach to promoting ecojustice through science education may be through encouraging and enabling youth to develop commodities that are both functional and aim to maximize wellbeing for individuals, societies and environments (WISE). Studies of one teacher’s efforts in this regard suggest considerable successes with such WISE engineering — although, as reported here, successes seem to come at expense of some educational losses that have been tied to pro-capitalist science education. Although such tempered achievements may seem frustrating, those promoting social justice and environmental wellbeing through school science may be motivated by emergent successes and possibilities for mobilizing them across networks of living, nonliving and symbolic entities.

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.

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)0,001
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesÉtudes des sciences et des technologies
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: Observationnel
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,294
Score d'incertitude au seuil1,000

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0010,001
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0010,002
Études des sciences et des technologies0,0020,001
Communication savante0,0000,002
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 Opus0,016
Tête enseignante GPT0,296
Écart entre enseignants0,280 · 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