Stepping sideways to move forward: Closing the science–practice gap.
Notice bibliographique
Résumé
The of in Canada has come a long way in the past 50 years, with psychologists playing a critical role in not only advancing scientific understanding of the human condition, but also shaping practices and policies. The advance of psychological into practice and policy is highlighted by the report of the Canadian Psychological Association Task Force on Evidence-Based Practice of Psychological Treatments (2012). The task force recommends that psychological services not only be based on strong evidence, but also on continued and evaluation. Nevertheless, the challenges facing today are remarkably similar to those articulated by Adair (1981) 35 years ago. There are still inadequate funds for and grim employment prospects for emerging scholars, while at the same time, there is a pressing need for scientific understanding and approaches to address pressing social problems.I was one of 164 students who graduated with a PhD in in 1979, entering a field with declining academic growth and few academic positions (Adair, 1981). As a consequence, I was one of many psychologists who moved into applied positions and transformed formal training in into careers as full-time researchers, program evaluators, or practitioners (Adair, 1981). In this article, I highlight the journey and learning opportunities that I, along with many others, had when we stepped sideways into the applied world. There were multiple challenges and opportunities in collaborating with practitioners to re-create in real-world settings, which have been formative in my efforts to both contribute to psychology as a science and to public and community service.A Side Door to ScienceAs a newly minted postdoctoral fellow in 1984, I stepped into a clinical setting, Earlscourt Child and Family Centre (now Child Development Institute) as the Research Director. Within this clinical setting, there was a wish for research, but not a reality, so I started with small steps. My first assignment for successful research was counting the number of children who came into and out of service. As Bickman (2015) pointed out, these are the basic input and output metrics that clinical settings need for sustainability. The interest in and hope for research, however, came from many different program leaders within the Centre. The clinicians had burning questions about the characteristics of children and families coming into programs and about the outcomes of their programs. As a developmental psychologist, I was eager to learn about how children were developing through the programs and why. These early years of in a clinical setting taught me three important lessons. First, we had to spend a long period of time learning about each other's perspectives and articulating our questions of interest. It was a period of time in which I learned about the challenges that vulnerable children and their families face, as well as those of clinicians working to address these challenges. This extended time learning together formed the foundation for collaboration, which I discovered was absolutely essential for in a clinical setting. Second, it quickly became apparent that the only way that we could put programs under the microscope was by building trust in the process. It was essential to help clinicians understand that we were not examining them and their individual performances, but were interested in patterns in the treatment process. Finally, outside the controlled conditions of a labouratory requires extensive patience with the process, because it seldom unfolds in a timely and orderly fashion. Nevertheless, my colleagues and I slowly began to engage in cocreated research, some of which is still ongoing and thriving today, with significant contributions to the well-being of children and their families.New Questions and New PathwaysEarlscourt Child and Family Centre specialized in addressing the problems of aggressive children and their families. …
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 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 | 0,078 | 0,132 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,001 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| Bibliométrie | 0,005 | 0,007 |
| Études des sciences et des technologies | 0,025 | 0,042 |
| Communication savante | 0,025 | 0,017 |
| Science ouverte | 0,006 | 0,021 |
| Intégrité de la recherche | 0,013 | 0,023 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,006 | 0,002 |
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 ».