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Record W1971472924 · doi:10.1145/1215942.1215946

How much do technical scientists really cooperate?

2006· article· en· W1971472924 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

VenueACM SIGCAS Computers and Society · 2006
Typearticle
Languageen
FieldComputer Science
TopicOnline Learning and Analytics
Canadian institutionsUniversity of Windsor
Fundersnot available
KeywordsTeamworkPersonalityIdeal (ethics)Knowledge managementPsychologyComputer scienceEngineering ethicsPublic relationsManagement scienceSocial psychologyPolitical scienceEngineering

Abstract

fetched live from OpenAlex

Teamwork has evolved to play an important role in science and is called for by funding agencies, universities, and industry. However, as important as teamwork nowadays is, teamwork may not be the only approach to produce relevant research results. Furthermore, cooperation does not always match its ideal and ranges from nominal collaboration to close interaction. Given that researchers in technical sciences are often rated as introverts, the question is whether this is true and how this affects their collaboration style and their capability to solve conflicts in collaboration. This paper presents the results of a study that investigates to what extent researchers collaborate, what their motivation for collaboration is, and how they deal with conflicts. Furthermore, the paper assesses the researchers' personality types and checks whether a correlation exists between collaboration-related choices and personality types. The study was carried out with researchers in the area of high-performance computing.

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 categoriesScholarly communication
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.824
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0010.001
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 head0.008
GPT teacher head0.238
Teacher spread0.229 · 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