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Record W2406643743 · doi:10.1109/mcs.2016.2536098

Iron Ring [From the Editor]

2016· article· en· W2406643743 on OpenAlexaboutno aff
Jonathan P. How

Bibliographic record

VenueIEEE Control Systems · 2016
Typearticle
Languageen
FieldEngineering
TopicSmart Grid Security and Resilience
Canadian institutionsnot available
Fundersnot available
KeywordsCeremonyAutonomyObligationWork (physics)Public relationsEngineeringEngineering ethicsComputer sciencePolitical scienceLawHistoryMechanical engineering

Abstract

fetched live from OpenAlex

The author uses his memory of the University of Toronto held 'iron ring' ceremony held for his graduating class as a basis to reflect on the responsibilities associated with this profession. Called the Ritual of the Calling of an Engineer, the ceremony, which dates back to 1922, was originally authored by Rudyard Kipling. The ceremony "was instituted with the simple end of directing newly qualified Canadian engineers toward a consciousness of their profession and its social significance, and indicating to more experienced engineers their responsibilities in welcoming and supporting the newer engineers when they are ready to enter the profession." The passing of the 30th anniversary of the US space shuttle Challenger accident might act as a similar reminder for all engineers to again reflect on the responsibilities associated with this profession. This reflection might be especially important for members of the IEEE Control Systems Society, given the importance of feedback control and autonomy in ensuring the performance and safety of the critical infrastructure and systems that are used routinely. For others in the field, this obligation might just simply be a reminder to do our job well and correctly, check your work and the work of others, speak up if there is a problem, and consider that just because we can do something, it doesn't mean we should. These issues are becoming increasingly important given the complexity of systems that are being created, the mixtures of hardware and embedded software with numerous possible hidden modes/behaviors, and the competitive environment in which many engineers work. Something to consider is that when an application crashes on your phone, you might have to reboot, but there is usually not much harm done. But if a safety-critical system is rolled out too early to meet deadlines without sufficient testing, then the results of a failure could be much more catastrophic. Thus, it is the duty and responsibility of all practicing engineers to recognize the importance of these consequences and to uphold these standards.

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)0.002
metaresearch head score (Gemma)0.017
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: Not applicable
GenreCandidate signal: Editorial · Consensus signal: Editorial
Teacher disagreement score0.085
Threshold uncertainty score0.283

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.017
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0020.001
Science and technology studies0.0030.001
Scholarly communication0.0070.005
Open science0.0030.002
Research integrity0.0080.008
Insufficient payload (model declined to judge)0.0850.066

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 head0.005
GPT teacher head0.177
Teacher spread0.172 · 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
GenreEditorial

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".

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Citations0
Published2016
Admission routes1
Has abstractyes

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