MétaCan
Menu
Back to cohort
Record W4389684999 · doi:10.1111/radm.12663

Places and spaces of collaborative R&D and innovation: navigating the role of physical and virtual contexts

2023· article· en· W4389684999 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.

Bibliographic record

VenueR and D Management · 2023
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicInnovative Approaches in Technology and Social Development
Canadian institutionsCarleton University
Fundersnot available
KeywordsContext (archaeology)Knowledge managementContingencySpace (punctuation)Innovation managementSociologyComputer scienceEpistemologyGeography

Abstract

fetched live from OpenAlex

The context in which collaborative R&D and innovation activities take place is a critical driver of success and failure. However, innovation management research tends to often abstract the context away, leaving the crucial contingency factors unaddressed. This special issue explores multifaceted collaborative R&D and innovation contexts across physical and virtual domains. An array of ten articles dissect various contexts, including cross‐sector partnerships, innovation hubs, living labs, makerspaces, and virtual collaboration spaces and communities, highlighting their impact on innovation processes and outcomes. In this editorial, we develop a ‘Collaborative Innovation Space Matrix’ to firstly integrate the insights from the special issue focusing on collaboration dynamics and type of spaces and, secondly, to propose a call for action for innovation researchers to better understand the crucial role of context in collaborative R&D and 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)0.000
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: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.608
Threshold uncertainty score0.274

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
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 head0.014
GPT teacher head0.257
Teacher spread0.243 · 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