Mapping the contours of contemporary positive psychology.
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Notice bibliographique
Résumé
This paper seeks to quantify scholarly interest in the rapidly emerging field of Positive Psychology (PP) and to empirically map the contours of the discipline using six different methodologies. Results document extraordinary growth in the last decade and confirm that scholars in this area have devoted the lion's share of their attention to two of the three 'Pillars' of PP as proposed by SeUgman and Csikszentmihalyi (2000): (1) the study of positive subjective experience and (2) positive personal traits. While interest in positive institutions has been somewhat sparse, there has been increased concern with the topics of 'resilience' and eudaimonia (broadly defined). The latter developments help to dispel the myth that PP is an elite endeavour solely concerned with Pollyanna-style 'happiology' in people who find themselves in idyllic circumstances. Hopefully the results of our content analysis of the field will encourage instructors who teach PP to provide their students with a well-balanced curriculum, one that accurately reflects the heterogeneity of the field, and one that mirrors recent scholarly trends. Keywords: definition, positive psychology, review, domains, temporal trends, specializations As Noted by Yen (2010), the past 10 years, there has been a literal explosion of work within the new subdiscipline of positive psychology. Commanding record enrollment rates in undergraduate psychology courses across North America and around the world and attracting a considerable amount of media attention, positive psychology has become positively faddish. It is Harvard's most popular course, having recently supplanted introductory economics. . . . Within the academy, the field has rapidly established itself through a large and growing body of research data, journals, books, articles and special issues, international associations and conferences, funding, dedicated research centers, and courses and graduate programs. (p. 67) While a number of authors have noted that increased attention is being given to Positive Psychology (PP), pronouncements of a boom have rarely been substantiated by empirical research that has approached the question using a quantitative methodology. In the current article, we document the growth of scholarly interest in PP by performing a year-by-year count of citations contained in PsycINFO. At the same time, in an effort to contribute to 'boundary work,' we also empirically map the contours of the field using six different methodologies. To briefly preview our findings, we were able to confirm anecdotal observations (e.g., Yen, 2010) suggesting PP has experienced extraordinary growth in the past decade. Our empirical efforts to demarcate PP' s self-narration yielded a heterogeneous picture. Content analyses of subdomains of concern to PP suggest a complex identity, one that is incongruent with the popular cultural stereotype that depicts PP as an elite endeavour concerned solely with grinning yellow smiley faces and Pollyanna-style positive thinking. We conclude our paper by encouraging instructors who teach PP to make use of the current results so as to provide students with a well-balanced and comprehensive curriculum, one that accurately reflects the empirically determined breadth and scope of the field. What Is the Evidence for a Boom? Wong (2011) agrees with Yen (2010) in suggesting PP has rapidly become a 'hot' topic in academic circles and in the popular culture. While anecdotal accounts touting the PP boom are plentiful, research is lacking that documents changes in the extent of interest in the academy over time. There is also a dearth of empirical evidence to quantify how much scholarly attention has been given to specific topic areas and whether interest is burgeoning equally in these emerging subdomains of inquiry. Thus, we do not know whether the boom that has ostensibly occurred since the year 2000 is generalised or localised to a few constructs/processes. …
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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 | 0,002 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,001 |
| Méta-épidémiologie (sens large) | 0,001 | 0,000 |
| Bibliométrie | 0,001 | 0,002 |
| Études des sciences et des technologies | 0,001 | 0,002 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,002 | 0,000 |
| Intégrité de la recherche | 0,001 | 0,002 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,007 | 0,001 |
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.
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 découle