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Record W40227048

Coaching at work - a method of facilitating self-directed learning or controlling it?

2013· article· en· W40227048 on OpenAlexaboutno aff
Annette Fillery‐Travis, Simon Cavicchia

Bibliographic record

VenueMiddlesex University Research Repository (Middlesex University Of London) · 2013
Typearticle
Languageen
FieldPsychology
TopicCoaching Methods and Impact
Canadian institutionsnot available
Fundersnot available
KeywordsCoachingPsychologyPersonal developmentProfessional developmentPublic relationsManagement developmentPedagogyMedical educationManagementPolitical scienceMedicineEconomics
DOInot available

Abstract

fetched live from OpenAlex

Work place coaching can no longer be considered a passing management fad. It is now a common method for senior leader development within public, private and third sector organisations and responsible for a significant proportion of the training and development budgetary spend (Jarvis, Lane, & Fillery-Travis, 2006). \n \nIt has moved from being the rescue-remedy for the poorly performing executive to being an accepted part of the learning & development strategy with an increasing emphasis on moving away from delivery by external coaches to developing coaching cultures where coaching is considered an appropriate leadership and managerial style (McComb, 2012; Megginson & Clutterbuck, 2005). This investment has led to a focus proving efficacy through outcomes research and there is now the development of a significant evidence base concentrating upon impact and return on investment (Fillery-Travis & Passmore, 2011). It has proven efficacy as a vehicle for embedding learning across all employee levels and as a method of team development (Brockbank & McGill, 2006). In sectors such as education, health and manufacturing over 70% of organisations are using it as a main development tool for their employees (CIPD, 2008). \n \nThe model of coaching used, its delivery, scope and duration differs according to the overt identified purpose of the intervention. The practice of coaching encompasses the relative linear process of skills development to the complexity of developmental coaching (Passmore, 2007) where the coachee can explore their concept of self, identity and practice within the workplace through improvement in the ‘quality of their perception of the work environment’, their awareness of their own conditioning and self-deception and how they synthesise their various models of self (Bachkirova, 2011). \n \nIn this paper we uncover and explore some of the assumptions implicit in the use of coaching within organisations. Most coaches would identify much of their role to be the facilitation of the critical reflection by the coachee on what they are seeking from their work role in terms of achievement, impact and professional development. Specifically this form of coaching is driven by the coachee’s own agenda for learning and the organisation’s role is simply that of the containing environment. The coaching literature is currently grappling with two distinct voices on this issue – one from the business coaches closely aligned to a ‘managerialist’ perspective where impacts upon performance are the only criteria for effectiveness of the learning achieved (Dagley, 2006) and the second from executive coaches who see themselves as holding a difficult balance between the personal agenda of the coachee and the implicit/explicit agendas of the sponsoring organisation. Using a critical review of the literature and offering a short vignette from practice we explore how holding this tension can result in implicit compromises in the learning agreement between coaches, clients and stakeholders. Often these compromises inhibit challenge to organisational norms that is the hallmark of deeper learning. We shall offer an example of where holding and exploring the tension between individual and organisational requirements can result in a more generative resolution where new knowledge and practice might emerge.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.004
metaresearch head score (Gemma)0.007
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.015
Threshold uncertainty score0.050

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0020.007
Scholarly communication0.0070.006
Open science0.0020.004
Research integrity0.0030.003
Insufficient payload (model declined to judge)0.0150.005

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 head0.072
GPT teacher head0.342
Teacher spread0.270 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations0
Published2013
Admission routes1
Has abstractyes

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