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Record W7073939829

Social Registries for Social Assistance and Beyond : A Guidance Note and Assessment Tool

2017· report· en· W7073939829 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.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueThe World Bank Open Knowledge Repository (World Bank) · 2017
Typereport
Languageen
FieldEnvironmental Science
TopicCO2 Sequestration and Geologic Interactions
Canadian institutionsnot available
Fundersnot available
KeywordsNucleofectionGovernment (linguistics)PopulationIdentification (biology)Subject (documents)Circumstantial evidence
DOInot available

Abstract

fetched live from OpenAlex

This paper makes several contributions.
\n First, it presents a ‘guidance note’ on the framework for
\n Social Registries, anchoring the definition of these systems
\n in their functions along the Delivery Chain and their social
\n policy role as inclusion systems, while clarifying
\n terminology in a manner that is consistent with IT standards
\n in the discussion of their architecture as information
\n systems. Second, it illustrates the diverse typologies and
\n trajectories of country experiences with Social Registries
\n with respect to their (a) institutional arrangements
\n (central and local); (b) use as inclusion systems (coverage,
\n single or multi-program use, static or dynamic intake and
\n registration); and (c) structure as information systems
\n (structure of data management; degree and us of
\n interoperability with other systems). These patterns
\n primarily derive from a review of Social Registries in a
\n sample of 20 countries), (Azerbaijan, Brazil, Chile, China,
\n Colombia, the Dominican Republic, Djibouti, Georgia,
\n Indonesia, Macedonia, Mali, Mauritius, Mexico, Montenegro,
\n Pakistan, the Philippines, Senegal, Sierra Leone, Turkey,
\n and Yemen). The paper also draws on experience in other
\n countries (Kenya, Rwanda, Nigeria, Egypt, Jordan, Vietnam,
\n India, Estonia, Belgium, the US, Canada, Australia, and
\n others) to illustrate specific points. Third, this paper
\n develops a basic ‘Assessment Tool’ covering the core
\n building blocks of Social Registries using a ‘checklist’
\n style of questions. Given the wide diversity of Social
\n Registries in both their role in social policy and in their
\n architecture, the approach is not prescriptive: it does not
\n advocate for any specific model or blueprint for Social
\n Registries. Any diagnostics or recommendations that emerge
\n from use of this Guidance Note and Assessment Tool will be
\n country specific. Some key take-away messages include: (a)
\n the importance of recognizing both the role of the ‘front
\n lines’ for outreach, intake and registration (Social
\n Registries as inclusion systems) and the ‘back office’
\n functions of Social Registries as information systems; (b)
\n the potential power of Social Registries as integrated and
\n dynamic gateways for inclusion; (c) the recognition that
\n Social Registries are generally part of end-to-end systems
\n for specific programs, integrated social protection
\n information systems, and/or even ‘whole-of-government’
\n approaches; and (d) there is significant diversity in the
\n typology and trajectories of Social Registries across
\n countries and over time.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.209
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0050.001
Scholarly communication0.0010.001
Open science0.0010.002
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 head0.053
GPT teacher head0.389
Teacher spread0.336 · 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