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Record W2621015542 · doi:10.19088/1968-2017.121

Africa’s Youth Employment Challenge: New Perspectives

2017· paratext· en· W2621015542 on OpenAlexfundno aff

Bibliographic record

VenueIDS Bulletin · 2017
Typeparatext
Languageen
FieldBusiness, Management and Accounting
TopicEntrepreneurship Studies and Influences
Canadian institutionsnot available
FundersInternational Livestock Research InstituteUniversity of East AngliaUniversity of OxfordArizona State UniversityInternational Development Research CentreUnited Nations Population FundUniversity of MinnesotaAfrican UnionWorld Health OrganizationUNICEFWorld Bank Group
KeywordsBusiness

Abstract

fetched live from OpenAlex

The IDS Bulletin is an open access, peer-review journal exploring emerging international development challenges. It is published bi-monthly and is the flagship publication of the Institute of Development Studies, a leading global institution for research, teaching and learning, and impact and communications, based at the University of Sussex. Progressive economic, social and political change for everyone needs new kinds of action and relationships, shaped by new kinds of research and engagement. The IDS Bulletin aims to transform development knowledge, through its unique thematic issues developed by global learning partnerships that bridge academic, practice and policy discourse.

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)0.006
metaresearch head score (Gemma)0.007
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.017
Threshold uncertainty score0.050

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.007
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.003
Science and technology studies0.0130.017
Scholarly communication0.0170.016
Open science0.0010.011
Research integrity0.0070.010
Insufficient payload (model declined to judge)0.0150.001

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 head0.049
GPT teacher head0.264
Teacher spread0.215 · 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 designNot applicable
Domainnot available
GenreOther

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

Citations7
Published2017
Admission routes1
Has abstractyes

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