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Record W2010258013 · doi:10.1007/s11266-014-9476-8

The Phenomenon of Staff Volunteering: How Far Can You Stretch the Psychological Contract in a Nonprofit Organization?

2014· article· en· W2010258013 on OpenAlexaff
Wenjue Lu Knutsen, Yolande E. Chan

Bibliographic record

VenueVOLUNTAS International Journal of Voluntary and Nonprofit Organizations · 2014
Typearticle
Languageen
FieldSocial Sciences
TopicNonprofit Sector and Volunteering
Canadian institutionsQueen's University
Fundersnot available
KeywordsConceptualizationPhenomenonStraddlePublic relationsWork (physics)Psychological contractBusinessSociologyPsychologyPolitical scienceFinance

Abstract

fetched live from OpenAlex

Abstract In nonprofit organizations, hybrid activities that straddle both paid work and volunteering have been documented. However, conceptualization of these hybrid activities is missing. This article conceptualizes one kind hybrid activity—“staff volunteering” (SV) in which self-selected, paid nonprofit employees, motivated by volunteerism, willingly volunteer to perform work that is perceived to be unpaid by the employee. SV enriches our understanding of volunteerism and the nature of nonprofit work by conceptualizing the phenomenon of paid SV at work. SV informs nonprofit managers about the staff’s work motivation and both the benefits and dangers of relying on SV. The conceptualization also provokes us to rethink the role and status of NPOs within the framework of the New Public Management.

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 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)0.002
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.063
Threshold uncertainty score0.672

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
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 head0.011
GPT teacher head0.284
Teacher spread0.273 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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

Citations10
Published2014
Admission routes1
Has abstractyes

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