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Record W7065095914

Co-operation and working together for health gain and social well being in border areas.

2015· report· en· W7065095914 on OpenAlexaboutno aff

Bibliographic record

VenueLenus, The Irish Health Repository (Dr Steevens Hospital Library) · 2015
Typereport
Languageen
FieldPhysics and Astronomy
TopicRadiation Detection and Scintillator Technologies
Canadian institutionsnot available
Fundersnot available
KeywordsRuralityNorthern irelandStatutory lawPopulationQuarter (Canadian coin)Public healthIrishPopulation healthHealth servicesThe Republic
DOInot available

Abstract

fetched live from OpenAlex

In July 1992, the North Eastern and North
\nWestern Health Boards in the Republic of Ireland
\nand the Southern and Western Health and Social
\nServices Boards in Northern Ireland entered into a
\nformal agreement known as the Ballyconnell
\nAgreement (see Appendix I) to co-operate in
\nimproving the health and social wellbeing of their
\nresident populations, This agreement was revised
\nin 1998 to take account of the purchaser/provider
\nsplit when the Northern Ireland Health and Social
\nServices Boards were reorganised into
\nCommissioner Boards and Provider Trusts were
\nestablished as separate statutory organisations.
\nCo-operation and Working Together (CAWT)
\ncovers the whole of the land boundary between
\nthe Republic of Ireland and the United Kingdom
\nand between them they comprise a population of
\none million. It has been suggested that people
\nliving in the vicinity of the border are materially
\ndisadvantaged on account of low levels of
\neconomic activity, rurality and geographical
\nisolation. Research lends weight to this view with
\ndeprivation in border areas, particularly evident
\nwith regard to age dependency and
\nunemployment. As the need for health services is
\nhighly correlated with material deprivation it can
\nbe assumed that those who live in border areas
\nhave higher than average health needs. This is
\nfurther borne out by studies of perinatal mortality
\nwhich have suggested higher mortality rates in
\nborder areas.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.443
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.023
GPT teacher head0.314
Teacher spread0.291 · 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.

Study designNot applicable
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
Published2015
Admission routes1
Has abstractyes

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