SKILLS AND LEARNING FOR CREATING SUSTAINABLE COMMUNITIES IN ONTARIO, CANADA
Notice bibliographique
Résumé
The paper presents a pilot study based on a survey of skills and learning in sustainable community development in Ontario, Canada for a country-wide research on place-making for building sustainable communities. Place-making is a transformative process of planning, designing and managing places, with people in mind. By definition, a 'small-urban municipality' (SUM) is a city or urban area with a population of 60,000 that have adopted an environmental action plan and/or economic development strategies to achieve economic prosperity and community sustainability. The research examines the 'skills question' in the labour market such as job mismatch, skills squeeze and shortage of critical talent in building sustainable communities. Its overarching goal is to provide insights on the learning needs, skill patterns and future capacities for sustainable community development (SCD) to establish highly skilled professionals in building sustainable communities. Its focus is on communities representing Southern and Northern communities that meet the population criterion. The pilot survey's target population is 300 professionals of three groups. Group 1 is from local government (Mayors and/or Reeves) to get a local policy perspective; Group 2 from core occupations and professions comprising a broad mix of built-environment professions and public service professionals; and Group 3 are related professions such as regeneration officers and social workers. Group 2 professionals range from landscape architects, urban designers, engineers, environmental officers/managers, housing and welfare officers, urban planners, energy planners and economic development officers/managers. A survey of generic, specialist and technical skills and knowledge of future professionals were made for acquired and required skills by profession and group. For data analysis, the Likert scale data are to be analyzed using Mann-Whitney U (Zar 1996). Cronbach's Alpha is used to provide an internal consistency estimate of test score reliability (Cronbach 1951). R (R Development Core Team 2008) and SPSS 20.0 (IBM 2011) statistical software packages will be used for all analyses. Projections of skill and workforce scale gaps with an evaluation model on knowledge and skills on the learning capacities of SUMs will be done as the current data is still preliminary. In driving the skills agenda to establish the capacity requirements in SUMs, the rationale is to promote meaningful skills development and strategic learning strategy in sustainability education through programs and courses that are responsive, proactive and complementary to the demands of contemporary SCD practice.
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Comment cette classification a été obtenuedéplier
Prédiction distillée sur la base complète
Imitation des enseignantsNi 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.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,001 |
| Intégrité de la recherche | 0,000 | 0,001 |
| 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 tête enseignante, 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 ».