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Record W134835509

The cultural and social benefits of cultural quarters: the case of Temple Bar, Dublin

2010· dissertation· en· W134835509 on OpenAlexaboutno aff

Bibliographic record

VenueUPT. Syiah Kuala University Library (Syiah Kuala University) · 2010
Typedissertation
Languageen
FieldSocial Sciences
TopicCultural Industries and Urban Development
Canadian institutionsnot available
Fundersnot available
KeywordsQuarter (Canadian coin)PopulationGeographyCultural issuesCultural valuesCultural diversityCultural landscapeSociologySocial scienceAnthropologyDemographyArchaeology
DOInot available

Abstract

fetched live from OpenAlex

This study investigated the use of cultural quarters as a regeneration tool, focusing on social and cultural impacts on the local population. As one of the longest established cultural quarters in Europe, the Temple Bar Cultural Quarter was used as a case study. Previously, much of the research into cultural regeneration has focused on economic and environmental factors. There is a lack of empirical evidence associated with the social and cultural impacts of cultural regeneration. Cultural impacts, in particular, have only begun to receive attention recently. A combination of quantitative and qualitative methods was used to assess the current social and cultural impacts of Temple Bar on the local population. Fifty people responded to a quantitative questionnaire and five of those took part in semi-structured interviews. The results show that Temple Bar has achieved strong social and cultural impacts for a small proportion of the population. The extent of these impacts has not reached the whole population, with the majority of the population experiencing limited social and cultural benefits.

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)0.002
metaresearch head score (Gemma)0.002
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 score0.152

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0100.007
Scholarly communication0.0040.002
Open science0.0010.006
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0050.000

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 head0.034
GPT teacher head0.247
Teacher spread0.213 · 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

Citations0
Published2010
Admission routes1
Has abstractyes

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