MétaCan
Menu
Back to cohort
Record W4402131185 · doi:10.5539/ijbm.v19n5p224

The 6 Whats Coaching Model: A Practical Guide to Structuring Professional Coaching Conversations

2024· article· en· W4402131185 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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueInternational Journal of Business and Management · 2024
Typearticle
Languageen
FieldPsychology
TopicCoaching Methods and Impact
Canadian institutionsConcordia University
Fundersnot available
KeywordsCoachingStructuringPsychologyKnowledge managementComputer scienceBusinessPsychotherapist

Abstract

fetched live from OpenAlex

Coaching practice, which occurs largely in organizational contexts, has traditionally been seen as forward-looking dialogue that moves clients from intentions to goal attainment. Extensive research can be found attesting to the value of coaching experiences for personal and professional development. Yet, with exponential growth in this field, what is represented as coaching may take a wide variety of forms,  thereby obscuring and problematizing what the nature of professional coaching is, especially as articulated by professional coaching organizations. As well, with such diversity in coaching approaches, how can organizations fully appreciate what they are inviting into their environment when they choose to employ coaching as an HRD strategy? The 6 whats model aims to recenter awareness on the essential elements of a coaching conversation in order that the coherence of coaching practice is more consistent and that practice boundaries for this relatively new profession can be reaffirmed. It builds upon historical traditions within the coaching field and articulates the core elements of coaching conversations that are required so that coaching relationships remain within their legitimate domain of professional endeavor.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.911
Threshold uncertainty score0.488

Codex and Gemma teacher scores by category

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

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 head0.045
GPT teacher head0.433
Teacher spread0.388 · 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