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Record W40227048

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

2013· article· en· W40227048 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

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). 
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\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). 
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\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). 
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\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.

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)0.005
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.432
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.002
Science and technology studies0.0020.001
Scholarly communication0.0000.001
Open science0.0010.001
Research integrity0.0000.002
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 head0.072
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