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Record W2096998268

Sustainability Issues for Australian Research Data: The report of the Australian eResearch Sustainability Survey Project

2006· article· en· W2096998268 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.

fundA Canadian funder is recorded on the work.
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

VenueANU Open Research (Australian National University) · 2006
Typearticle
Languageen
FieldComputer Science
TopicResearch Data Management Practices
Canadian institutionsnot available
FundersDivision of Mathematical SciencesMedical Research CouncilFlinders UniversityArts and Humanities Research CouncilDirectorate for Biological SciencesNational Institutes of HealthUniversity of WarwickNatural Environment Research CouncilUniversity of CanberraNational Archives of AustraliaSwinburne University of TechnologyUniversity of Technology SydneyResearch Councils UKUniversity of New South WalesOntario Ministry of Natural Resources and ForestryNational Library of AustraliaAustralian Academy of ScienceAustralian Academy of the HumanitiesNational Science FoundationUniversity of South AustraliaFisheries Research and Development CorporationNational Health and Medical Research CouncilQueensland University of TechnologyCommonwealth Scientific and Industrial Research Organisation
KeywordsSustainabilitySustainability scienceEnvironmental resource managementSustainability organizationsEnvironmental planningBusinessGeographyEnvironmental science
DOInot available

Abstract

fetched live from OpenAlex

The survey found that researchers are both providers and consumers of data and have a broad range of needs for research data and its management.There are strong disincentives for researchers to engage with long-term data management.There is little recognition for good data management.Researchers do not see a national

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)0.093
metaresearch head score (Gemma)0.032
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow), Science and technology studies, Scholarly communication, Open science
Consensus categoriesMetaresearch, Science and technology studies, Scholarly communication, Open science
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Commentary · Consensus signal: none
Teacher disagreement score0.868
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0930.032
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.011
Science and technology studies0.0030.003
Scholarly communication0.0050.022
Open science0.0340.021
Research integrity0.0000.002
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 head0.526
GPT teacher head0.542
Teacher spread0.016 · 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