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Record W2771973615 · doi:10.24908/iqurcp.7155

The New Student Activism

2017· article· en· W2771973615 on OpenAlexaffvenue
Talia Radcliffe

Bibliographic record

VenueInquiry Queen s Undergraduate Research Conference Proceedings · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicTourism, Volunteerism, and Development
Canadian institutionsQueen's University
Fundersnot available
KeywordsGrassrootsEmpowermentPublic relationsOrder (exchange)Political sciencePosition (finance)Civil societySociologyLawBusinessPolitics

Abstract

fetched live from OpenAlex

It is seemingly accepted that students have become passive members of civil society. Today's youth are comparatively disillusioned with their baby boomer parents' activist idealism, and have, therefore, sought a more personalized way to engage with the world: development projects. Students are in the unique circumstance of being bound to no dependents or income, which is quite an apt circumstance for activism of any type. Furthermore, students typically possess a desire to, at least, “find themselves” and at best,“change the world,” both of which are states of mind that make student development work specifically opportune. Since project‐based international development has taken a turn for the popular, it has become trendy for students to build schools, teach about HIV/AIDS, and install plumbing systems in the Global South. However, few of these initiatives appear to be informed by individual cultures and circumstances of living. Considering students are in an optimal life circumstance, it must be questioned what the best way might be to direct this unique position in order to instigate meaningful social change. Considering that students are at the apex of their educations, it is more appropriate and beneficial to have students live, experience and participate in communities in the Global South in order to truly understand the problems at hand and to recognize the priorities of varying communities and subsequently before advising policy‐makers. Positive change must be made at a halfway point between informed governmental policy and grassroots organizational empowerment, but change cannot and will not happen until information is generated from on‐the‐ground experience, and until our best resources are encouraged to learn before they take action.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.005
metaresearch head score (Gemma)0.006
Version: metacan-v3-hybrid-931329e0061cValidation 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: none
Teacher disagreement score0.043
Threshold uncertainty score0.145

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.006
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0070.009
Scholarly communication0.0160.009
Open science0.0010.014
Research integrity0.0060.010
Insufficient payload (model declined to judge)0.0430.007

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 head0.133
GPT teacher head0.434
Teacher spread0.301 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
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".

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Citations0
Published2017
Admission routes2
Has abstractyes

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