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Record W4230666359 · doi:10.32920/ryerson.14652297.v1

Diasporic Identity And Political Action: Palestinian Student Activism On Ontario University Campuses

2021· preprint· en· W4230666359 on OpenAlexaffabout
Laura Ashfield

Bibliographic record

Venuenot available
Typepreprint
Languageen
FieldSocial Sciences
TopicJewish and Middle Eastern Studies
Canadian institutionsToronto Metropolitan University
Fundersnot available
KeywordsIdentity (music)PoliticsSolidarityDiasporaPolitical scienceAction (physics)PalestinePolitical activismGender studiesPerceptionPolitical actionSociologyLawPsychology

Abstract

fetched live from OpenAlex

This study focuses on how young Palestinians in the diaspora understand their identity, and whether this understanding, as well external perceptions of identity, shape their political actions in terms of solidarity movements with Palestine on Ontario campuses. Eight Palestinian activists (aged 19 – 32) were interviewed about their perceptions of identity and experiences of activism. The findings suggest that the participants have a strong Palestinian identity maintained by their connections to home and their involvement in Palestinian activism. The participants’ engagement with activism reinforced their Palestinian identity, pointing to the interconnected relationship between identity and political action. When examining the experiences of activism on campus, participants garnered support but also faced challenges from pro-Israel groups and university administrations. The implications of these findings are significant to political and academic freedom in Canada and will hopefully encourage universities to foster nondiscriminatory political debate and ensure that all voices are heard.

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)0.002
metaresearch head score (Gemma)0.002
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: Empirical
Teacher disagreement score0.394
Threshold uncertainty score0.792

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0160.009
Scholarly communication0.0040.001
Open science0.0010.005
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0040.000

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 head0.087
GPT teacher head0.345
Teacher spread0.257 · 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".

Quick stats

Citations0
Published2021
Admission routes2
Has abstractyes

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