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Record W4300578809 · doi:10.1017/s0305862x00022585

Archives in Africa: an Overview with Examples of Recent Initiatives

2018· article· en· W4300578809 on OpenAlex
David C. Sutton

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

VenueAfrican Research & Documentation · 2018
Typearticle
Languageen
FieldComputer Science
TopicDiverse Research and Applications
Canadian institutionsLibrary and Archives Canada
Fundersnot available
KeywordsGovernment (linguistics)National archivesService (business)Political scienceLibrary scienceDeveloping countryPublic administrationsortEconomic growthBusinessLawComputer scienceDatabaseEconomics

Abstract

fetched live from OpenAlex

There are between 195 and 200 countries in the world (depending upon whether or not certain controversial cases are included), of which 54 are in Africa. All of these countries have some sort of archives service in one or more institutions, and there are usually around 195 countries represented in the membership of the International Council on Archives (ICA). The archival collections which are universally held are governmental archives. Every country with membership of ICA has an archives service which collects and preserves records of national government, in part or in whole. A great majority of ICA member countries (but not all) also hold archives of local, municipal or regional government, as well as collections of parliamentary papers (which are generally regarded as distinct from papers of government).

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.421
Threshold uncertainty score0.301

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0000.001
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.000
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 head0.241
GPT teacher head0.442
Teacher spread0.201 · 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