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Record W2922754086

The potential impact of the American liberal arts university model to post-conflict societies

2019· article· en· W2922754086 on OpenAlexaff
Hayfa Jafar

Bibliographic record

Venue2019 Conference of the Canadian Society for the Study of Education · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicSocioeconomic Development in MENA
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsLiberal arts educationStatus quoPolitical scienceHigher educationCornerstoneSociologyEconomic growthEconomicsLaw
DOInot available

Abstract

fetched live from OpenAlex

This study investigates the implications of importing an American liberal arts university model to post-conflict Iraq in order to anticipate its potential contribution to the ongoing processes of social cohesion and nation building.  The study follows a qualitative research method using the American University of Iraq, Sulaimani (AUIS) in Kurdistan region as a case study. The study utilizes Holmes’ problem approach, which is based on a careful study of context to anticipate the implications of a borrowed model and what adjustments need to be made for a positive outcome. The initial findings show that the strong commitment to a liberal arts education is the cornerstone of AUIS. The not-for-profit private institution character is another important element of the university, yet it is confronted by the unstable economic and security realities of the country and the lack of understanding by some potential funders, which ultimately affects the provision of equal opportunities to students from different socio-economic status. It also affects campus diversity as a strategy to unite the country. International higher education practices became an attractive alternative to the failed status quo throughout Iraq’s territories. Not everyone, though, was assertive about the model’s applicability to other parts of Iraq.

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)0.001
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: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.296
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.026
GPT teacher head0.298
Teacher spread0.272 · 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

Citations0
Published2019
Admission routes1
Has abstractyes

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Same venue2019 Conference of the Canadian Society for the Study of EducationSame topicSocioeconomic Development in MENAFrench-language works237,207