MétaCan
Menu
Back to cohort
Record W1576008951

A Global Look at Young Scientists

2015· article· en· W1576008951 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueResearch-Technology Management · 2015
Typearticle
Languageen
FieldMedicine
TopicGlobal Health and Surgery
Canadian institutionsnot available
Fundersnot available
KeywordsExcellencePolitical scienceState (computer science)EnlightenmentPublic relationsYoung professionalLaw
DOInot available

Abstract

fetched live from OpenAlex

Research managers and executives generally concede that many of most original and innovative ideas in research enterprise come from young scientists--researchers within few years of end of their doctoral training. Experience in North America and Europe has also shown that geography presents no barrier to scientific achievement: brightest young scientists can originate from anywhere in Developing countries increasingly shape science and contribute to global advancement of knowledge, says Rees Kassen, Canadian who is co-chair of Global Young Academy (GYA), an organization that bills itself as the voice of young scientists around world. recent survey by GYA has provided insight into needs and contributions of these young, emerging researchers. Founded in 2010 in Berlin, Germany, academy aims to raise profile of young scientists in developed and developing countries. As key part of that ambition, academy organized global survey of young researchers around including those in often-neglected regions and countries, aiming to understand how young researchers contribute to knowledge landscape and determine what obstacles they encounter in process across By exploring global state of young scientists and identifying their opportunities, concerns, and needs, project's leaders hoped to initiate change and catalyze improvement in global research system. A Vast Pool of Global Talent GYA's ambitions for project, called GloSYS (for Global State of Young Scientists), were ambitious. Recognizing key role young researchers play in achieving scientific excellence and solving international problems and in driving the new knowledge economy, where research and innovation are drivers of economic growth, socioeconomic development and enlightenment for countries around world, original project description characterized young scientists as a vast pool of global talent that stands to change geography of knowledge in fundamental ways. The goal of study, description says, is to understand precisely how young researchers can succeed in and contribute to knowledge landscape and what obstacles they face in doing so ... By exploring global state of young scientists and identifying their opportunities and concerns, GloSYS project aims to initiate change and catalyze improvement in global system of science. In pursuit of these goals, GloSYS team collected 650 written responses to survey asking young scientists about their professional lives and conducted 45 in-depth interviews with individual young scientists, defined as researchers in their 30s who were within 10 years of receiving their doctoral degrees. Surveys and interviews were conducted with researchers from five regions: Nigeria and South Africa; Japan, Sri Lanka, and Thailand; Germany; Egypt, Pakistan, and Tunisia; and Brazil, Canada, and United States. The survey sample was almost evenly divided between men and women; majority had received their PhDs between 2007 and 2013. We adopted an inclusive approach focusing on all world regions and selecting countries with different development stages, said Catherine Beaudry, associate professor of creation, development, and commercialization of innovation at Ecole Polytechnique de Montreal and principal investigator of study. Our unique internationally comparative perspective enabled us to reflect authentic voice and experiences of young researchers, scholars, and scientists worldwide. Variety of Obstacles Survey responses and interviews revealed variety of hardships and obstacles to career advancement. …

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.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.285
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.002

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 head0.086
GPT teacher head0.427
Teacher spread0.341 · 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