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Building capacity in ageing research: Implications from a survey of emerging researchers in Australia

2007· article· en· W1984399996 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

VenueAustralasian Journal on Ageing · 2007
Typearticle
Languageen
FieldPsychology
TopicAging and Gerontology Research
Canadian institutionsnot available
FundersNational Health and Medical Research CouncilNational Medical Research CouncilMedical Research CouncilAustralian Research CouncilAGE-WELL
KeywordsHealthy ageingAgeingVariety (cybernetics)Field (mathematics)Older peopleSet (abstract data type)PsychologyGerontologyPublic relationsMedicinePolitical scienceComputer science

Abstract

fetched live from OpenAlex

Objective: The National Emerging Researchers in Ageing Study (NERAS) set out to inform capacity‐building efforts in ageing research. Its purpose was to identify the interest, attitudes and motives of PhD students to enter the field and factors influencing intention to remain. Method: A web‐based survey was sent to 267 PhD students in ageing. It assessed attitudes towards older people and the importance of a variety of factors influencing students’ interest and decision to engage in ageing research. Results: The response rate was 60% (n = 161). Positive attitudes, interest in ageing issues and concern for older people were key motivating factors to work or study in the field. Supervisors in ageing and initial interest in the field were key predictors of intention to remain in the field. Conclusions: NERAS is the first national study of emerging researchers in ageing and it provides important new knowledge with implications for capacity‐building efforts.

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)0.021
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesResearch integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.038
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0210.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.004
Insufficient payload (model declined to judge)0.0010.000

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 head0.514
GPT teacher head0.520
Teacher spread0.005 · 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