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Record W2278087567 · doi:10.18733/c36p4b

Israel-Palestine: The pedagogical challenge

2011· article· en· W2278087567 on OpenAlexaffvenue
Donald Grayston, Dave H. Chang

Bibliographic record

VenueCultural and Pedagogical Inquiry · 2011
Typearticle
Languageen
FieldSocial Sciences
TopicJewish and Middle Eastern Studies
Canadian institutionsUniversity of AlbertaSimon Fraser University
Fundersnot available
KeywordsGeopoliticsFraming (construction)VisionRealmMiddle EastPoliticsNarrativePalestineSociologyPolitical scienceEpistemologyGender studiesHistoryLawAncient historyAnthropologyArt

Abstract

fetched live from OpenAlex

The Israeli-Palestinian conflict began in a critical sense in 1948 and continues to this day. An understanding of this continuing dispute requires knowledge of its historical, political, religious, demographic, emotional and geopolitical dimensions, and of the way anti-semitism figures in how people engage in discussions of the Middle-East. After sketching out these realities, we consider how disagreement over the framing of the past generates disagreement over visions of the future. Drawing on the work of Jakob Feldt and Ilan Gur-ze’ev, among others, we highlight the challenges posed to educators in regard to how each of the two major narratives, Israeli and Palestinian, compete with the Other’s account of their shared and fractured history. Using an incident involving the British Columbia Ministry of Education as a reference point, we explore the way special interest groups engage with the realm of public education, as well as the challenge of deconstructing conflicting historical interpretations. The paper suggests some pedagogical approaches for moving beyond the contesting of histories and for the development of better-grounded student involvement with this complex issue.

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)0.000
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: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.650
Threshold uncertainty score0.718

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.002
Scholarly communication0.0000.000
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 head0.824
GPT teacher head0.492
Teacher spread0.332 · 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 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

Citations2
Published2011
Admission routes2
Has abstractyes

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