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Record W2161443880

Water in an Era of Peace: Teaching for Regional Cooperation in a Multicultural Setting

2000· article· en· W2161443880 on OpenAlexvenueno aff
Ruth Zuzovsky

Bibliographic record

VenueCanadian journal of environmental education · 2000
Typearticle
Languageen
FieldSocial Sciences
TopicMiddle East and Rwanda Conflicts
Canadian institutionsnot available
Fundersnot available
KeywordsCurriculumAttitude changeMulticulturalismPeace educationCognitionPsychologyEducational psychologyIntervention (counseling)SalientPedagogySociologyPublic relationsPolitical scienceLaw
DOInot available

Abstract

fetched live from OpenAlex

For the last three years, a joint project sponsored by the Netherlands-Israel Research Program has been in progress. The study was primarily meant to evaluate an educational intervention aimed at changing prevailing attitudes of Palestinian and Israeli youth towards peace and regional collaboration in managing shared resources, such as water. Based on a cognitive approach to attitudinal change, a curriculum on water issues was constructed and implemented on an experimental sample of junior high students in the Palestinian Authority and in Israel, as well as in several teacher training colleges in Israel. The basic assumption of the project was that new persuasive information can support the construction of salient beliefs regarding peace and cooperation. The findings of our study indicated a significant growth in knowledge among all the study’s participants. Despite this, changes in attitudes were small. Several explanations are offered to explain the lack of relationships between knowledge gains and attitude changes—some related to the cognitive mechanisms employed in processing major versus minor information, and some to assymetries in processing information related to the dichotomies of war versus peace and profit versus loss. It became clear that attitudinal change could not be achieved through cognitive mechanisms alone. Other more effective factors should be incorporated in planning a curriculum that aims to educate people toward peaceful coexistence.

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.527
Threshold uncertainty score0.999

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 studies0.0000.000
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 head0.014
GPT teacher head0.275
Teacher spread0.260 · 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 designObservational
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
Published2000
Admission routes1
Has abstractyes

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