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Record W1929757095 · doi:10.3963/jmpm.v3i1.123

Project Management of Transfer from Space to the Earth: Supporting Open-Collaborative Projects in the Canadian Space Agency

2015· article· en· W1929757095 on OpenAlexaffabout
Luz-María Jiménez-Narváez, Mickaël Gardoni

Bibliographic record

VenueEspace ÉTS (ETS) · 2015
Typearticle
Languageen
FieldEngineering
TopicTechnology Assessment and Management
Canadian institutionsÉcole de Technologie Supérieure
Fundersnot available
KeywordsCrowdsourcingAgency (philosophy)ConceptualizationKnowledge managementSpace (punctuation)Project managementProcess (computing)Process managementTechnology transferProduct (mathematics)BusinessEngineering managementComputer scienceEngineeringSystems engineeringWorld Wide WebSociology

Abstract

fetched live from OpenAlex

This paper proposes a methodology to support the management of collaborative projects between the Canadian Space Agency (CSA) and industrial partners (particularly small-size or start-up enterprises), and exploring how the technology transfer should be boosted using new media tools. Particular emphasis was placed on crowdsourcing platforms and familiar tools used by enterprises. Results show that the process of developing collaborative projects was not sufficiently supported by current ICT tools. The data also revealed the important role played by social dynamics in the first stages of product conceptualization to harness open collaboration in further development of projects.

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)0.012
metaresearch head score (Gemma)0.020
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.971
Threshold uncertainty score0.751

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0120.020
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0050.003
Science and technology studies0.0100.003
Scholarly communication0.0070.003
Open science0.0030.007
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.026
GPT teacher head0.278
Teacher spread0.252 · 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
GenreEmpirical

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
Published2015
Admission routes2
Has abstractyes

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