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Record W7001941045

Letters to a young engineer. Fifth edition, 2018

2018· book· en· W7001941045 on OpenAlexfundno aff

Bibliographic record

Venuee-scholar@UOIT (University of Ontario Institute of Technology) · 2018
Typebook
Languageen
FieldSocial Sciences
TopicEarthquake and Disaster Impact Studies
Canadian institutionsnot available
FundersUniversity of Ontario Institute of Technology
KeywordsSubject (documents)Feature (linguistics)RidiculousSet (abstract data type)
DOInot available

Abstract

fetched live from OpenAlex

A Promise to Future GenerationsYou are, in a very real way, stewards of the world.Keep it well and sustain it with your creativity and innovation.Reach out to the diverse network you have forged while at university, and look for solutions beyond your formal disciplines.Collaborate for success by seeking different opinions, building and engaging multidisciplinary teams, and remembering that diversity is at the heart of creativity and innovation.Whatever road you take, you can take that step confident in the knowledge and experience that you have gained.Find the strength that will allow you to take risks.Never lose your sense of curiosity and your joy of engineering new possibilities and opportunities-what you create and change will have a great and lasting impact on you and others in your global community.I encourage you to transform the engineering profession in ways that reflect your passion.And never forget that you could not have made these strides if it had not been for the love and encouragement of other people.For my part, I must thank the mentors and colleagues I have encountered all my life.Also, I must thank my parents, who believed that their curious daughter could dismantle and rebuild, and make them, I hope, proud.With warmest wishes for a rewarding engineering journey.

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)0.001
metaresearch head score (Gemma)0.003
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: Other · Consensus signal: Other
Teacher disagreement score0.279
Threshold uncertainty score0.935

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.001
Science and technology studies0.0030.001
Scholarly communication0.0050.003
Open science0.0010.002
Research integrity0.0030.004
Insufficient payload (model declined to judge)0.2790.217

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 head0.015
GPT teacher head0.223
Teacher spread0.208 · 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
Published2018
Admission routes1
Has abstractno

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