Remembering why forest schools are important: Nurturing environmental consciousness in the early years
Notice bibliographique
Résumé
This thesis used a narrative inquiry approach to examine the memories that led certain individuals to support the forest school movement in Canada. Forest schools, a form of outdoor alternative education, have been gaining popularity in North America and Europe in recent years. The first forest school in Canada opened in 2008. By 2014, there were 12 Canadian forest schools serving children in the preschool to kindergarten age group. Who are forest school supporters? What first motivated them to become interested in forest schools? Were these individuals raised in rural areas, or were they urban dwellers who were intrigued by the forest school concept? What significant events in their lives caused them to be drawn to forest schools? What has made forest schools so special to them? These research questions are answered by examining the memories of forest school supporters. Memories influence personality, knowledge and identity. The theoretical framework for this thesis is based on the notion that the forest school movement is motivated by the ecological consciousness of its supporters, which is derived from memories of experiences in nature. Ecological consciousness represents an active, memorable relationship with nature. The author examined his own personal memories and those of five forest school supporters, using an autobiographical approach (currere) and participant interviews. Narrative writing formed the first step of the analysis. The collected memories were written into chronologically-arranged stories that captured important aspects of each person’s life and significant experiences in their formative years. The detailed memories in the narratives were then coded, categorized and themes were extracted. Major findings were that support for forest schools was largely influenced by formative and memorable experiences in nature. Cultural background, opportunities for independent learning, the exhilaration of childhood exploration, and finding refuge in nature were the themes that most influenced ecological consciousness and later forest school support. This study raises fundamental questions about the role of outdoor education in early childhood and its effects on developing the ecological consciousness of future generations.
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Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi 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.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,002 | 0,004 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,011 | 0,015 |
| Communication savante | 0,006 | 0,004 |
| Science ouverte | 0,001 | 0,004 |
| Intégrité de la recherche | 0,001 | 0,002 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,001 | 0,000 |
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.
score_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 découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».