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Record W7033160871

The Palestine Podcast #12: Lia Tarachanksy on 'Israeli Collective Denial of the Nakba'

2015· other· en· W7033160871 on OpenAlexaboutno aff

Bibliographic record

VenueBulletin of Miscellaneous Information (Royal Gardens Kew) · 2015
Typeother
Languageen
FieldArts and Humanities
TopicHistorical Philosophy and Science
Canadian institutionsnot available
Fundersnot available
KeywordsSolidarityDenialPower (physics)Context (archaeology)Ethnic CleansingRefugeeFace (sociological concept)Journalism
DOInot available

Abstract

fetched live from OpenAlex

This discussion followed a screening of Canadian-Israeli journalist Lia Tarachansky ’s documentary film 'On The Side Of The Road', an exploration of the power of denial. The film focuses on Israeli collective denial of the events of 1948 that led to the state’s foundation on the back of ethnic cleansing and the creation of the Palestinian refugee problem. The discussion took the form of a question and answer session in which a wide range of topics were discussed. About the speaker: Lia Tarachansky is the Palestine-Israel correspondent for The Real News Network (TRNN) where she produces short, documentary-style reports exploring the context behind the news. In 2012 Tarachansky produced and co-directed a BBC-Arabic documentary about Israel’s Social Justice (J14) movement and the wave of self-immolations it sparked, in protest of the harsh economic reality many face in Israel. Her work is frequently featured in publications such as +972 Magazine, Mondoweiss, USA Today, Al Jazeera, and the Huffington Post; and her journalism was profiled in the renowned Max Blumenthal book, Goliath: Life and Loathing in Greater Israel The discussion took place in The Pearse Centre in Dublin and was organised by the Ireland-Palestine Solidarity Campaign - http://www.ipsc.ie .

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.062
Threshold uncertainty score0.998

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 studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0650.003

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 head0.016
GPT teacher head0.179
Teacher spread0.163 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreOther

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
Published2015
Admission routes1
Has abstractyes

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