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Record W3083296747 · doi:10.1080/23299460.2020.1804293

A cross-dimensional analysis of nanotechnology and equality: examining gender fairness and pro-poor potential in Canada’s R&D landscape

2020· article· en· W3083296747 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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueJournal of Responsible Innovation · 2020
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicUniversity-Industry-Government Innovation Models
Canadian institutionsUniversité de MontréalConcordia University
Fundersnot available
KeywordsWorkforceEquity (law)Gender equityGender equalityInequalityGender gapPolitical scienceSociologyEconomic growthEconomicsDemographic economics

Abstract

fetched live from OpenAlex

ABSTRACT This study provides a cross-dimensional analysis of two equity concerns related to Canadian nanotechnology, investigating the relationship between the development of nanotechnology applications that benefit the poor and the gender gap in the scientific workforce. Many affluent countries, like Canada, aspire to use R&D to reduce inequality in both economic and gender dimensions, which makes cross-dimensional analyses essential for responsible innovation to fully understand how technologies affect equality and to guide policy. Relevant publications and patents are analyzed to explore if Canadian nanotechnology was addressing the needs of the poor and then to examine gender disparities in research and innovative advancements of pro-poor applications of nanotechnology. Only a small percentage of analyzed articles and patents reflected pro-poor priorities and Canadian workplaces involved in pro-poor nano-applications were largely male-dominated. Results suggest that coordination between pro-poor and gender-responsive policies is needed to promote both more equitable and more inclusive forms of innovation.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.048
Threshold uncertainty score0.995

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.004
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.060
GPT teacher head0.265
Teacher spread0.205 · 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