Individual and Organizational Factors in the Interchangeability of Paid Staff and Volunteers: Perspectives of Volunteers
Bibliographic record
Abstract
This study builds upon earlier studies of the degree of interchangeability between volunteers and paid staff in nonprofit organizations. While these earlier studies were from an organization perspective, this study is from the perspective of volunteers, and looks at individual and organizational characteristics in all types of organizations—nonprofits, for-profits, government agencies, and others. The findings indicate that 10.8% of volunteers reported replacing a paid staff member, 3.1% permanently. Volunteers also reported being replaced by paid staff: 7.6% reported being replaced, 2.1% permanently. The study suggests that organizations utilize a co-production model and appear to interchange their paid staff and volunteers when needed in tasks requiring higher-level skills. RÉSUMÉ Cette étude se fonde sur des études antérieures qui portaient sur le niveau d’interchangeabilité entre Cette étude se fonde sur des études antérieures qui portaient sur le niveau d’interchangeabilité entre bénévoles et salariés dans des organismes à but non lucratif. Tandis que ces études antérieures adoptaient une perspective organisationnelle, cette étude-ci adopte celle des bénévoles et examine les caractéristiques individuelles et organisationnelles de toutes sortes d’organisations—à but non lucratif, à but lucratif, gouvernementaux et coopératifs. Elle se fonde sur deux sous-échantillons provenant d’une enquête aléatoire par téléphone avec 768 individus provenant de partout au Canada. Les résultats indiquent que 10,8% des bénévoles disent avoir remplacé un salarié, 3,1% en permanence. Les bénévoles disent d’autre part que des salariés les ont remplacés : 7,6% ont ainsi été remplacés par des salariés, 2,1% en permanence. L’étude semble montrer que les organisations utilisent un modèle de co-production et paraissent échanger leurs salariés et bénévoles au besoin pour des tâches requérant des habiletés de haut niveau.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.006 | 0.011 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.004 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".