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Record W2264933063

Organisational Perspectives on the Value of Volunteer Labour

2006· article· en· W2264933063 on OpenAlexaboutno aff
Femida Handy, Laurie Mook, Jack Quarter

Bibliographic record

VenueAustralian journal on volunteering · 2006
Typearticle
Languageen
FieldSocial Sciences
TopicNonprofit Sector and Volunteering
Canadian institutionsnot available
Fundersnot available
KeywordsVolunteerValue (mathematics)Public relationsProject commissioningPublishingBusinessLabour economicsPolitical scienceEconomicsLaw
DOInot available

Abstract

fetched live from OpenAlex

Using data from 661 nonprofit organisations from across Canada, this study investigates why some use more volunteer labour than others. To understand this, we examine the organisational perspectives on the use and value of volunteer labour and some of the organisational factors that influence its use. In particular, we examine if there are any differences in volunteer labour use that are associated with organisation size, structure, use of paid labour, age, orientation, activity and the value assigned to volunteer labour. The study finds that nonprofit organisations that place a higher value on their volunteer labour are more likely to have greater reliance on volunteers and are more willing to spend resources to manage them efficiently. In addition, the utilisation of volunteer labour is impacted by size, age, the existence of paid staff, the organisation's field of activities, but not its orientation or structure.

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)0.007
metaresearch head score (Gemma)0.024
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.579
Threshold uncertainty score0.847

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0070.024
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.003
Science and technology studies0.0060.004
Scholarly communication0.0040.001
Open science0.0010.004
Research integrity0.0000.001
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 head0.023
GPT teacher head0.288
Teacher spread0.265 · 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 designQualitative
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

Citations4
Published2006
Admission routes1
Has abstractyes

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