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Record W2783855106 · doi:10.20381/ruor-21409

A true alternative?: A discourse analysis of the Alternative Spring Break’s online marketing material

2017· article· en· W2783855106 on OpenAlexaboutno aff
Élise Lapalme

Bibliographic record

VenueuO Research (University of Ottawa) · 2017
Typearticle
Languageen
FieldComputer Science
TopicDigital Communication and Language
Canadian institutionsnot available
Fundersnot available
KeywordsSpring (device)MarketingAdvertisingSociologyPolitical scienceBusinessEngineering

Abstract

fetched live from OpenAlex

Volunteer tourism, otherwise known as voluntourism, is generally defined as a way in which young, unskilled, individuals from the Global North can spend 1 to 4 weeks abroad, contributing to community development or environmental sustainability. Voluntourism is a growing phenomenon and many universities are responding to student demands, while also capitalizing on the key demographic to whom voluntourism is marketed (young students). The Alternative Spring Break (ASB) is one such program that provides students an opportunity to volunteer abroad or in Canada for 1 to 4 weeks. This paper examines the ASB websites of Carleton University, Ryerson University and the University of Western Ontario and uncovers, through a discourse analysis, several challenges with the language of an “alternative experience.” This paper suggests that ASB markets their programs in such a way that students believe they will make a difference abroad, while simultaneously experiencing something alternative to everyday life. Although marketed as such, ASB in fact perpetuates two often cited thematic frames found within the voluntourism literature: neocolonialism and neoliberalism. Through this analysis, this study suggests that the way in which ASB trips are marketed does not fully inform students of the effects of their choice to travel abroad, and thus students perpetuate the idea that they are superior and have come to “help” the “Other.” Key Word: Alternative Spring Break, Voluntourism, Alternative, Neocolonialism, Neoliberalism

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.717
Threshold uncertainty score0.944

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0000.001
Open science0.0050.003
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 head0.062
GPT teacher head0.352
Teacher spread0.290 · 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

Citations0
Published2017
Admission routes1
Has abstractyes

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