Duality Leadership at Atkinsrealis: From an Execution to Exploration and Growth Culture
Bibliographic record
Abstract
Whilst there is a wide range of interests in the many facets of leadership promoting multiple models and frameworks, the majority continue to be concerned with diagnosis, analysis, traits, and behaviours.In contrast, the authors focus on an approach that seeks to design, deliver, and embed a significant shift in organizational culture and leadership behaviour.A new metatheory of leadership is offered, combined with a change management methodology which utilizes the reconciliation of competency dilemmas as the core process.The treatment to reconciling these organizational dilemmas are culturally defined.The premise is that, by thinking and acting to reconcile competing and seemingly irreconcilable dilemmas, leaders are better able to embed change, deliver performance and be more successful cross-culturally.This theoretical approach to culture change and the related leadership metatheory is then operationalized through a case study which is founded around the Canadian engineering giant AtkinsRéalis (ATRL) 1 .We explore the five "dualities" or dilemmas that AtkinsRéalis leaders faced whilst trying to bridge from execution to exploration using what the authors define and explain as 'through-through thinking' to build a new way of conceiving leadership that delivers.This cultural and leadership behavioural change practice was supported through the introduction of Servant Leadership training to underpin new leadership behaviour and competencies.Further, the authors set out the practical steps to prepare for, deliver, embed, and then measure such a cultural and behavioural change over a number of years, including the HR tools, an engagement survey and interventions from the world of musical performance.
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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 | 0.006 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.021 | 0.024 |
| Scholarly communication | 0.018 | 0.005 |
| Open science | 0.002 | 0.010 |
| Research integrity | 0.002 | 0.005 |
| Insufficient payload (model declined to judge) | 0.006 | 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".