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Record W4402288304 · doi:10.1093/isp/ekae016

Forum: Youth as Boundary Actors in International Studies

2024· article· en· W4402288304 on OpenAlex

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.

Bibliographic record

VenueInternational Studies Perspectives · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicTourism, Volunteerism, and Development
Canadian institutionsQueen's University
FundersFonds De La Recherche Scientifique - FNRS
KeywordsPolitical scienceBoundary (topology)International relationsLawPoliticsMathematics

Abstract

fetched live from OpenAlex

Abstract Youth represent a great part of humanity and have always been active and intriguing political actors, yet youth remain sidelined in international studies. Issues of social identity perception and its consequences have been embraced by post-positivist approaches in international studies. Yet, while race, gender, and class challenges are shaking the discipline, age is a key research gap. To fill this gap, the conceptual departure of this forum is to study youth, taking 16–30/35 as an age range, as “boundary actors” in international politics. We assembled contributions that address this conceptual departure on topics, including health, conflict, climate change, and indigenous people’s rights, across all world regions with specific focuses on Africa and Asia. Overall, the forum demonstrates that youth are able to move the boundaries: (i) of norms in international politics by asking for a more inclusive implementation of human rights and/or environmental justice; (ii) of procedures by suggesting to broaden decision-making; (iii) of international activism by combining social media and protests as new strategies. Taken together, the contributions show that youth have and are a world-building project, not just a world-confirming project.

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)0.001
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 score0.362
Threshold uncertainty score0.769

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.001
Open science0.0000.000
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 head0.045
GPT teacher head0.390
Teacher spread0.345 · 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