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Record W2127109738 · doi:10.1080/09658211.2013.775310

Living in History in Lebanon: The influence of chronic social upheaval on the organisation of autobiographical memories

2013· article· en· W2127109738 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueMemory · 2013
Typearticle
Languageen
FieldPsychology
TopicIdentity, Memory, and Therapy
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsPsychologyAutobiographical memorySpanish Civil WarPeriod (music)Sample (material)Developmental psychologySocial psychologyHistoryCognitionPsychiatry

Abstract

fetched live from OpenAlex

The Living in History (LiH) effect is a litmus test for the degree to which historical events reorganise autobiographical memory. The LiH effect was studied in two Lebanese samples: a Beiruti sample that lived in the epicentre of the 15-year Lebanese Civil War (1975-1990) and another group from the Bi'qa region who lived in an area that was indirectly exposed for most of the civil war but experienced one short-term period of war during the Israeli invasion. Using the two-phase word-cueing task to elicit dated autobiographical memories, we observed a significantly stronger LiH effect in the Beirut sample but also a significant yet weaker LiH effect in the Bi'qa sample. In addition to the main finding we offer evidence that the LiH effect waxes and wanes with the level of conflict in an area and that reported personal experiences of war exposure predict the strength of the LiH effect. Our findings suggest that collective transitional events which produce a marked change in the fabric of daily living engender historically defined autobiographical periods which give structure and organisation to how individuals remember their past.

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.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.602
Threshold uncertainty score0.999

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 studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.018
GPT teacher head0.262
Teacher spread0.244 · 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