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Enregistrement W4405240551 · doi:10.3389/fpsyg.2024.1485935

Editorial: Advances in social constructionism and its implications for career development

2024· editorial· en· W4405240551 sur OpenAlexaff
Peter Yang, Charles P. Chen

Notice bibliographique

RevueFrontiers in Psychology · 2024
Typeeditorial
Langueen
DomaineSocial Sciences
ThématiqueCareer Development and Diversity
Établissements canadiensUniversity of Toronto
Organismes subventionnairesnon disponible
Mots-clésCareer counselingPsychologyCareer developmentSocial cognitive theorySocial constructivismMainstreamSocial constructionismNarrativeMeaning-makingSense of agencySocial psychologySociologyPedagogySocial sciencePsychotherapist

Résumé

récupéré en direct d'OpenAlex

The evolution of social-constructivist and constructionist paradigms in career development can be traced back to Audrey Collin and Richard A. Young's (1986) groundbreaking work. Published in the prestigious journal Human Relations, their work elaborated on the constructivist paradigm, challenging the mainstream approaches to career counseling. Following Collin and Young's seminal work, Mark L. Savickas emerged as another fundamental figure in promoting social constructionist thought in career development. In the early 1990s, Savickas advocated the integration of narrative approaches into career counseling, which led to the development of the career construction theory (CCT). In this theory, in order to explore the dynamic and evolving nature of career development, Savickas (2005) highlighted how individuals make sense of their careers through stories. Around the same time period, R. Vance Peavy's contributions became highly influential in constructivist counseling. His socio-dynamic counseling provided a practical approach to meaning-making and explaining the interplay between personal agency and environmental influences and its influence on career development (Peavy, 2000). The early 1990s also marked the formation of the social cognitive career theory (SCCT), developed by Robert W. Lent, Steven D. Brown, and Gail Hackett. SCCT emphasized the role of self-efficacy, outcome expectations, and personal goals in career decisionmaking. Incorporating cognitive and social learning principles, this theory provided a framework for understanding how individuals' beliefs and social environments influence their career management (Lent et al., 1994).How Lee and Jung (2022) emphasized Korean individuals' adaptation to today's changing environment and concentrated on how university students cognitively regulate their emotions and how these strategies affect their career decision-making self-efficacy. This study contributes to our understanding of the cognitive processes involved in shaping career development.While these four studies explored the spectrum of social constructionism differently, central to their pursuit is the recognition of social construction mechanisms as forces influencing career trajectories in diverse societal and cultural contexts. Understanding how these mechanisms operate can provide insights into how individuals develop careers in various settings and the implications they have for career counseling.Despite Young and Collin's (2004) argument two decades ago, significant progress has not been made. The findings have been accumulated separately rather than integrally over these years, much like the work done on our research topic. Continuous efforts are essential to advance social constructionism. At the core of this endeavor to advance the study of social constructionism in the field of career management lies the empowerment of individuals' career agency and motivation (Chen, 2006(Chen, , 2015;;Chen & Hong, 2020ab). By examining the interplay among personal beliefs, societal expectations, and social networks, researchers can examine the mechanisms driving individuals to pursue and persist in their chosen career paths. This exploration helps to explain how career motivation operates between internal agency and external influences, shedding light on the complexities of career decision-making processes.Another key aspect of these ongoing studies is the construction of goals and the strategic actions taken to achieve them. Investigating how individuals perform goal-directed actions during their career pursuits provides insight into the process of career construction (Young & Valach, 2004). By examining the strategies employed to cope with barriers encountered, researchers can explain the pathways through which individuals shape their career identities and aspirations within their real-life environments.Meaning-making processes play a fundamental role in career difficulties (Chen, 2011;Kogan, 1998).Through the lens of social constructionism, future studies could explore how individuals construct narratives to understand the challenges faced in their careers (Cochran, 1990;Maree, 2019). By understanding the effective ways in which personal meanings are generated through self-reflection and dialogue regarding one's career with others, career practitioners can provide tailored support and interventions to facilitate resilience and growth.Reflective practices, both as dialogue and through dialogue, have emerged as essential tools in the contemporary career management process (Hermans, 1987(Hermans, , 1999;;McIlveen & Patton, 2007;Reid et al., 2016). Engaging individuals in reflective dialogue with themselves and others fosters selfawareness, insight, and clarity in career decision-making. They also contribute to the initiation, maintenance, and enhancement of career motivation. In particular, facilitating reflective practices within counseling settings allows counselees to explore their career narratives, challenge underlying assumptions, and explore alternative paths.In addition to career dialogues, effective career feedback serves as a catalyst for career learning, growth, and development. By providing constructive feedback grounded in social constructionist principles ( Van den Bergh, et al., 2014), career counselors, mentors, and coaches can guide individuals towards career self-management with greater self-efficacy and confidence in their career choices. Knowing how to provide useful feedback facilitates career practitioners' understanding of their counselees' strengths, values, and aspirations, thus paving the way for informed career decisions.Finally, innovative techniques such as career writing (Lengelle & Meijers, 2014;Lengelle et al., 2013Lengelle et al., , 2014)), self-confrontation (Young et al., 1994), video playback (Young et al., 1994), and the use of images, collages, and photographs (Chan et al., 2012;Chant, 2020;Ginicola et al., 2012), as well as digital storytelling (Wu & Chen, 2020), provide alternative avenues for self-reflection and narrative construction in career exploration, decision making, and management. These creative approaches allow individuals to externalize and reframe career-related problems (Chan et al., 2012;Ricks et al., 2014) and foster new perspectives and insights into career learning and development.The establishment of these techniques will contribute to the study and practice of social constructionism in the field of career development.

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 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)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: Sans objet
GenreSignal candidat: Éditorial · Signal consensuel: Éditorial
Score de désaccord entre enseignants0,026
Score d'incertitude au seuil0,936

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0010,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0010,001
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 Opus0,022
Tête enseignante GPT0,347
Écart entre enseignants0,324 · 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

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeSans objet
Domainenon disponible
GenreÉditorial

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations3
Publié2024
Routes d'admission1
Résumé présentoui

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