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Record W146365109

COACHING, A FIELD FOR PROFESSIONAL SUPERVISORS?

2007· article· en· W146365109 on OpenAlexaboutno aff
Louis van Kessel

Bibliographic record

VenueUniversity of Zagreb University Computing Centre (SRCE) · 2007
Typearticle
Languageen
FieldDecision Sciences
TopicEvaluation and Performance Assessment
Canadian institutionsnot available
Fundersnot available
KeywordsCoachingField (mathematics)PsychologyProfessional developmentCroatianApplied psychologyMedical educationPedagogyPsychotherapistMedicine
DOInot available

Abstract

fetched live from OpenAlex

Coaching is a rapidly evolving field. Its forms are more diverse than those of professional supervision, which is, in fact, an established approach with the characteristics of 'coaching'. Although the origins and development of coaching are different from supervision, there is some connection between concepts and practices of both modalities. Professional supervisors need to be fully familiar with the field of coaching, so as to be able to (re)define their position within professional supervision. In order to do this, they should study the developments in coaching. This paper offers an overview of coaching in the English speaking world. It can be used as an informative guide by practitioners and as a basis for further research comparing coaching and professional supervision and more clearly defining their similarities and differences.est growing field within consulting (Liljenstrand, 2003.:1,referring to Eggers & Clark, 2000.and to Hall et al.,1999.).Many companies have substituted the coaching process for all other sorts of executive training (Judge & Cowell, 1997.).The number of publications on coaching is growing rapidly.An Email-Newsletter in German is sent out to 22,950 recipients. 2 The Internet search engine Google returns over 37,800,000 results for the query 'Business coaching Personal coaching'.At least four international (scientific) journals on coaching have been established in the past several years 3 .However, like consulting, coaching is a 'buyer beware' business (Shuit, 2005.a).It is flourishing without an established theoretical framework.It exists in many different forms and approaches.People who are professionally connected with the field of supervision as an educational form of coaching (semi-)professionals to handle their professional tasks (and who nowadays increasingly refer to themselves as 'professional supervisor/coach') must have at their disposal a solid knowledge base of the rapidly emerging field of coaching (Van Kessel/Fellermann, 2002.; Van Kessel, 2002.a;Van Kessel, 2002.b;Van Kessel, 2002.c;Van Kessel, 2002.d).What does the term 'coaching' represent and what do activities subsumed under the term 'coaching' offer their clients and commissioners/sponsors?What are the differences and similarities between coaching and supervision as a method of coaching (semi-)professionals with a tradition of over a hundred years? 4 These questions are the topic of this article.In discussing them we will shed light on the following topics: The world of coaching (section 2); What does the term coaching stand for?(section 3); Domains of coaching (section 4); Types of coaching (section 5); The position and roles of coaches (section 6); The focus and forms of coaching (section 7); Coaching methods and principles (section 8); Methodological approaches to coaching (section 9); Outcomes of coaching (section 10); Competences of coaches (section 11); Coaching as a distinct area of practice and study (section 12); Coaching, mentoring and consultancy (section 13); Coaching and professional supervision (section 14).The article ends with conclusions (section 15).The aim of this paper is to present an overview of the field, as an aid in finding one's way in the jungle of coaching.It is based on resources which mainly reflect trends in the Anglo-Saxon world (the USA, Canada, Great Britain, and Australia).It will be clear that 2 www.coaching-newsletter.de 3 a.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.252
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.067
GPT teacher head0.374
Teacher spread0.307 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designQualitative
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations7
Published2007
Admission routes1
Has abstractyes

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