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Record W1755662691 · doi:10.18733/c3pp4p

Academic and Artistic Freedom and the Israel-Palestine Conflict: Towards a Canadian Pedagogy of the Suppressed

2011· article· en· W1755662691 on OpenAlexaffvenueabout
Len Findlay

Bibliographic record

VenueCultural and Pedagogical Inquiry · 2011
Typearticle
Languageen
FieldSocial Sciences
TopicLaw in Society and Culture
Canadian institutionsUniversity of Saskatchewan
Fundersnot available
KeywordsPalestinePower (physics)Government (linguistics)Academic freedomAdministration (probate law)Political scienceLawSociologyHistoryHigher educationAncient historyPhilosophy

Abstract

fetched live from OpenAlex

In this essay I argue that the suppression and discouragement of teaching and discussion relating to the Israel-Palestine conflict can and should be countered by a pedagogy rooted in the most robust traditions of academic freedom and inspired by the most challenging practices and products of artistic freedom. Freedom of inquiry, imagination, and exchange are essential to the analysis of current realities and the capacity to envisage them otherwise. This is especially true in the current chilly climate where the asymmetries of power, resources, and communicative clout are most pronounced--or, to put it more colloquially, in situations where the playing field is least level and where academic and artistic freedom are most needed and most at risk. Such asymmetrical power relations are especially evident (as well as subtly coded) in the playing out and playing off of the Israel-Palestine conflict in the United States and Canada, thanks to the intimidation, amnesia, and gross simplifications that have strengthened their hold on public discourse in both countries since 9/11 2001. The unconditional support extended to Israel by the George W. Bush administration as a key part of the so-called “war on terror” has been eagerly imitated by Stephen Harper’s government and disappointingly reinforced in November 2010 in the so-called Ottawa Protocol on Combating Anti-Semitism (O’Malley, 2010).

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 categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.395
Threshold uncertainty score0.997

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 studies0.0010.005
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 head0.517
GPT teacher head0.447
Teacher spread0.071 · 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.

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

Citations1
Published2011
Admission routes3
Has abstractyes

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