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Record W2068946098 · doi:10.1177/0921374007088055

Representing the Homeland

2008· article· en· W2068946098 on OpenAlexaboutno aff
Dalia Abdelhady

Bibliographic record

VenueCultural Dynamics · 2008
Typearticle
Languageen
FieldSocial Sciences
TopicDiaspora, migration, transnational identity
Canadian institutionsnot available
Fundersnot available
KeywordsDiasporaHomelandRepresentation (politics)SociologyImmigrationEthnic groupRelation (database)Identification (biology)Gender studiesMythologyPoint (geometry)GenealogyMedia studiesHistoryAnthropologyPolitical scienceLawComputer sciencePolitics

Abstract

fetched live from OpenAlex

This article examines the representation of home among members of the Lebanese diaspora in New York, Montreal and Paris. Lebanese immigrants view home as both a concrete reality that is achieved physically or in relation with others and a symbolic reference point that moves beyond territorial boundaries. These overlapping strategies allow them to imagine and recreate their sense of home and belonging (to both a past and present) that provide sources of stability used in dealing with life in the diaspora. However, these strategies also highlight a lack of desire to return to Lebanon as they illustrate how Lebanese immigrants bring home to their new settings in ways that question national forms of belonging and ethnic identification. As a result, the myth of return which was once considered a defining feature of diasporic communities is no longer a unifying point among members of the diaspora.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.076
Threshold uncertainty score0.151

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0070.006
Scholarly communication0.0050.002
Open science0.0000.004
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0090.001

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 head0.057
GPT teacher head0.330
Teacher spread0.273 · 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 source (direct Gemma or distilled Codex), 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

Citations43
Published2008
Admission routes1
Has abstractyes

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