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Record W3124188849 · doi:10.1177/2043610615573378

Trees, flowers, prisons, flags: Frustration and hope shaping national identity for Palestinian families

2015· article· en· W3124188849 on OpenAlexaff
Bree Akesson

Bibliographic record

VenueGlobal Studies of Childhood · 2015
Typearticle
Languageen
FieldSocial Sciences
TopicChildren's Rights and Participation
Canadian institutionsWilfrid Laurier University
Fundersnot available
KeywordsIdentity (music)CraftNegotiationPalestineFLAGS registerGender studiesSociologyThe ImaginaryNational identityState (computer science)NarrativePolitical scienceGeographyPsychologyHistoryLawSocial sciencePoliticsArchaeologyAncient historyAestheticsArtPsychoanalysis

Abstract

fetched live from OpenAlex

The Israeli occupation has shaped the lives of Palestinian families for generations. Under occupation, Palestinian children continue to craft identities connected to place, specifically in their relationship with Palestine as a nation-state. Drawing from a qualitative research project using the concept of place as a lens through which to view children’s negotiations with their environments, this article examines how Palestinian identity is related to marginalization and dislocation from place as a result of the ongoing Israeli occupation. A total of 18 interviews were conducted with Palestinian children and their families living in the West Bank and East Jerusalem. The research used a place-based methodology including collaborative family interviews, mapmaking, and drawing. The data generally reinforced the view that a history of dislocation and marginalization from place due to the longstanding occupation contributes to emotions of frustration and hope, which in turn play a significant role in the national imaginary of families and children and ultimately shape Palestinian national identity or being Palestinian.

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)0.003
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.024
Threshold uncertainty score0.047

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0110.011
Scholarly communication0.0040.002
Open science0.0010.004
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0030.000

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 head0.112
GPT teacher head0.390
Teacher spread0.278 · 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 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

Citations13
Published2015
Admission routes1
Has abstractyes

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