Beyond Neutrality: Reimagining the Coach’s Role as Influencer and Co-Creator
Bibliographic record
Abstract
Neutrality remains central to coaching, yet it is increasingly untenable as an ethical and practical stance. This article responds to a growing need for the coaching profession to move beyond the ideal of neutrality. Coaches cannot and should not be neutral. Drawing on systemic positioning theory, reflexive ethics, and sociocultural perspectives, it critiques neutrality as epistemologically flawed and relationally limiting. Coaching is always situated, shaped by identity, context, and power; influence is not a risk to avoid but a responsibility to reflect upon. Reframing the coach as an ethical co-creator, the article advocates reflexivity, supervision, relational and systemic awareness and transparency over static ideals of neutrality.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.048 | 0.049 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.016 | 0.120 |
| Scholarly communication | 0.024 | 0.024 |
| Open science | 0.003 | 0.025 |
| Research integrity | 0.005 | 0.013 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".