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Record W3202290317 · doi:10.21061/road-to-success

Road to Success: A Guide for Doctoral Students and Junior Faculty

2021· book· en· W3202290317 on OpenAlexaff
Viswanath Venkatesh

Bibliographic record

VenueVirginia Tech Publishing eBooks · 2021
Typebook
Languageen
FieldHealth Professions
TopicDoctoral Education Challenges and Solutions
Canadian institutionsUniversity of British Columbia
FundersAustralian National UniversityUniversity of ArkansasUniversity of MinnesotaNational Science Foundation
KeywordsMedical educationAdvice (programming)Balance (ability)Service (business)Work (physics)PsychologyEngineeringPedagogyMedicineComputer scienceBusiness

Abstract

fetched live from OpenAlex

This book provides guidance and tools to help PhD students and junior faculty members successfully navigate and mature through the various stages of an academic career. Senior faculty members can use this book as a source of ideas to advise their PhD students and junior colleagues. This book presents knowledge that is seldom imparted in PhD programs, and organizes the same as advice and tools related to achieving success at research, teaching and service, all while maintaining work-life balance. The advice and tools provided are based on years of experience of the author and guest contributors, who have successfully navigated many of the same challenges and mentored many PhD students and junior faculty members. This book is suitable both for those who seek careers in research universities or universities that promote greater balance across research, teaching and service.

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)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: Incentives · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.999
Threshold uncertainty score0.147

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0040.002
Scholarly communication0.0100.007
Open science0.0010.005
Research integrity0.0030.007
Insufficient payload (model declined to judge)0.0440.054

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 head0.249
GPT teacher head0.535
Teacher spread0.286 · 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.

Study designNot applicable
DomainIncentives
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

Citations5
Published2021
Admission routes1
Has abstractyes

Explore more

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