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Record W4415011479 · doi:10.1002/iis2.70002

On The Importance of Being Able to Hold a Stake

2025· article· en· W4415011479 on OpenAlexaff
Richard Beasley, Andy Pickard, James Nolan, Sarah Sheard

Bibliographic record

VenueINCOSE International Symposium · 2025
Typearticle
Languageen
FieldComputer Science
TopicSoftware Engineering Techniques and Practices
Canadian institutionsBishop's University
Fundersnot available
KeywordsGeneral partnershipRealization (probability)StakeholderSystem of systemsEngineering economics

Abstract

fetched live from OpenAlex

Abstract The consideration of stakeholders as an input to a Systems Engineering approach is well‐known and well‐documented. What is not considered or discussed as much are the times a Systems Engineer developing a solution must become a stakeholder, defining and distributing needs derived from the system solution to its sub‐element systems and other realization systems. This paper describes the importance of a Systems Engineer being able to act as a stakeholder, and how important the partnership and cooperation between a system developer (Systems Engineer) and the stakeholders is. Both interacting with and being a stakeholder are important skills for a Systems Engineer to have – this paper gives an introduction to both why and how to do this.

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)0.037
metaresearch head score (Gemma)0.075
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.037
Threshold uncertainty score0.193

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0370.075
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0100.029
Scholarly communication0.0140.019
Open science0.0010.014
Research integrity0.0090.010
Insufficient payload (model declined to judge)0.0180.002

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 head0.011
GPT teacher head0.273
Teacher spread0.262 · 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 designNot applicable
Domainnot available
GenreOther

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
Published2025
Admission routes1
Has abstractyes

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