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Record W2157267154 · doi:10.1177/0734371x09360180

Public Sector Volunteering: Committed Staff, Multiple Logics, and Contradictory Strategies

2010· article· en· W2157267154 on OpenAlex
Graham Dover

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.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueReview of Public Personnel Administration · 2010
Typearticle
Languageen
FieldSocial Sciences
TopicNonprofit Sector and Volunteering
Canadian institutionsSimon Fraser University
FundersNational Park Service
KeywordsAgency (philosophy)Public relationsContext (archaeology)Government (linguistics)Public sectorQualitative researchBusinessSociologyPolitical scienceLaw

Abstract

fetched live from OpenAlex

Volunteers in government agencies are significant in the delivery of public services. The participation of these volunteers, however, is not straightforward and is restricted by conflicts between their needs and those of the agency. Although volunteer perspectives have been investigated, less is known about the experience of frontline staff. Using a qualitative study of a municipal ecology center in Canada, the author explores how a staff team committed to volunteers can develop and implement strategies that minimize volunteer involvement. Drawing on a central idea in institutional theory, institutional logics, the author identifies how the blending of elements from three main logics—professionalism, new public management, and community participation—-can create contradictions in the staff’s strategies toward volunteers. For those seeking greater participation of volunteers in public services, the findings suggest a need to recognize and assist frontline staff in navigating the institutional context that can shape volunteer—staff relationships.

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)0.002
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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.883
Threshold uncertainty score0.767

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
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 head0.081
GPT teacher head0.317
Teacher spread0.235 · 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