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Record W1985518166 · doi:10.1007/s11266-015-9550-x

Connecting the Characteristics of International Volunteer Experiences with Their Impacts: A Canadian Case Study

2015· article· en· W1985518166 on OpenAlexaffabout
Robin Campbell, Alan Warner

Bibliographic record

VenueVOLUNTAS International Journal of Voluntary and Nonprofit Organizations · 2015
Typearticle
Languageen
FieldSocial Sciences
TopicTourism, Volunteerism, and Development
Canadian institutionsAcadia University
Fundersnot available
KeywordsSocial policyVolunteerPolitical scienceSociologyPublic administrationEconomic growthEconomicsLaw

Abstract

fetched live from OpenAlex

Abstract The direct relationship between international volunteer experiences and impacts has rarely been explored and yet is important for understanding why certain impacts occur in the lives of volunteers upon returning home. This information helps organizations to develop effective international volunteer programs. This interpretive case study of the Nova Scotia-Gambia Association’s volunteer program explores the interactions between motivations, experiences, and impacts of volunteers who participate in short-term, development aid projects. It utilizes qualitative interviews and participant observation with recent volunteers and interviews with past alumni to understand these relationships. The findings identify three distinct types of volunteer narratives connecting experiences and impacts—personal, professional, and negative categories. The key characteristics of the experience are living situations and conditions, location selection, work placement options, and non-work related activities, frame experiences and effect impacts, influencing the nature of the narrative. Narratives are also strongly influenced by volunteer personalities and characteristics of the local culture.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.401
Threshold uncertainty score0.892

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.000
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 head0.019
GPT teacher head0.285
Teacher spread0.266 · 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 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

Citations16
Published2015
Admission routes2
Has abstractyes

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