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Enregistrement W2994116663

NARRATIVE ASSESSMENT TOOLS for CAREER and LIFE CLARIFICATION and INTENTIONAL EXPLORATION: Lily's Case Study

2014· article· en· W2994116663 sur OpenAlexaboutno aff
Mark Franklin, Rich Feller, Basak Yanar

Notice bibliographique

RevueThe Career Planning and Adult Development Journal · 2014
Typearticle
Langueen
DomainePsychology
ThématiqueCoaching Methods and Impact
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésNarrativeStorytellingCoachingNarrative inquiryCareer counselingPsychologyPublic relationsSociologyPedagogyPolitical science
DOInon disponible

Résumé

récupéré en direct d'OpenAlex

Narrative and storytelling-based methods for counseling, advising and coaching are gaining more attention as the management field shifts from traditional matching assessments to storytelling approaches and design (Savickas, 2012) principles. Narrative assessment offers an opportunity to fully engage clients by honoring their past, and building their psychological capital (Luthans, Youssef & Avolio, 2006) necessary to navigate a of transitions. Narrative methods, tools and techniques to bridge theory and practice have been emerging with greater frequency from Cochran's (1997) textbook to Brott's Storied Approach (2001), and from Severy's (2008) techniques to Stebleton's (2010) careful analysis of the strengths and limitations of narrative methods.One such narrative approach, the CareerCycles method of practice, with its conceptual model, suite of tools and holistic definition of career comprehensively includes the many human and systemic variables shaping a client's experience. This method of narrative assessment also provides a concrete framework and set of practical and engaging tools to support the counselor and specialists' ability to engage in useful practice.Introducing a counseling social enterprise that uses a narrative method of practiceA jobless recovery, corporate reorganizations and problematic underemployment among college graduates create challenges for clients. Yet CareerCycles, a busy management practice, continues to attract clients seeking to make choices that lead to increased meaning and purpose in their lives. Don, a CareerCycles client, captured what many clients feel as they search for their next steps, don't want to just job search and run around with my resume, I want to know what I want to do with my life Don, a 55-year old sales manager, was recently terminated due to a business downturn. Career counselors and specialists know that Don isn't alone. Scanning the daily headlines, job loss and transition are increasingly prevalent. What's different is that Don, like many management clients, is starting to see termination, disengagement or instability as a blessing in disguise (Zikic & Klehe, 2006). Like many clients, at first Don was distressed about his situation and future employment prospects, though after engaging in counseling Don began to identify and get excited about future possibilities more aligned with his emerging interests. He had been interested in horticulture, and as a means of exploring this interest he traveled to Scotland to spend time at a world renowned ecovillage, which was a very positive experience for him. With the help of narrative assessment methods, changers are finding opportunities to make and choices that finally connect their self-concepts to roles, fit into life, and make meaning through work (Hartung, 2013, p. 11).This article reports on a suite of narrative assessments grounded in a method practice created within a successful private management practice based in Toronto, Canada. The assessment suite helps clients tell and transform their and stories so they can make choices leading to greater possibilities. Yet the question remains: how do clients thoughtfully and successfully make these choices? Amundson's (2003, 2008) notion of a backswing provides an apt metaphor for the narrative process. Sometimes the best way to rebuild energy is to go backward to build momentum. Whether we are swinging a golf club, a broom, or a hammer, there is a need to have a short, focused backswing to build energy. For someone who is unemployed, this might mean a review of past accomplishments and the identification of transferable skills. Of course, a great backswing doesn't amount to much unless there is also a clear focus on a goal and follow-through afterward. (Amundson, 2003, pp.149-150) In and life, taking a backswing means reviewing the road one has taken to get to the present moment. …

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 enseignants

Ni 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.

score de la tête « metaresearch » (Codex)0,009
score de la tête « metaresearch » (Gemma)0,014
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Étude de cas · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,014
Score d'incertitude au seuil0,052

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0090,014
Méta-épidémiologie (sens strict)0,0010,001
Méta-épidémiologie (sens large)0,0000,001
Bibliométrie0,0030,002
Études des sciences et des technologies0,0100,005
Communication savante0,0060,005
Science ouverte0,0020,007
Intégrité de la recherche0,0040,004
Charge utile insuffisante (le modèle a refusé de juger)0,0070,002

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.

Tête enseignante Opus0,174
Tête enseignante GPT0,410
Écart entre enseignants0,236 · 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 source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeÉtude de cas
Domainenon disponible
GenreEmpirique

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

En bref

Citations1
Publié2014
Routes d'admission1
Résumé présentoui

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