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Record W2025978192 · doi:10.1353/trn.2008.0002

The strange death of liberated southern Africa

2007· article· en· W2025978192 on OpenAlexaff
John S. Saul

Bibliographic record

VenueTransformation · 2007
Typearticle
Languageen
FieldSocial Sciences
TopicSouth African History and Culture
Canadian institutionsYork University
Fundersnot available
KeywordsVictoryIrishPower (physics)Period (music)SentenceGeorge (robot)HistoryLawLiteraturePhilosophyPolitical scienceArtPoliticsArt historyAesthetics

Abstract

fetched live from OpenAlex

In writing the present essay, I have poached my title from a highly regarded old book by George Dangerfield entitled The Strange Death of Liberal England – chosen mainly for the bleak but, as I shall argue, appropriate catchiness of the spin I’ve sought to give to the title here. But there’s a substantive resonance to the link as well. Dangerfield writes of the period of proto-revolutionary upsurge in Britain on the eve of the First World War – encompassing actions by women, workers, the Irish – and of the role of the Liberal Party, caught up in the maelstrom of the time. The parallel is by no means entirely apposite, of course, but one sentence in the book’s opening pages did catch my eye. The Liberals, Dangerfield writes, emerged from the fray ‘flushed with one of the greatest victories of all time’ yet, he adds, ‘from that victory they never recovered’ (1997:19). Something similar can be said of Frelimo, of the MPLA, of SWAPO, of ZANU and of the ANC. For these movements, although still ‘in power’, have come to preside over the death of the promise that they were once thought to epitomise and their victories, or at least the way they came about, are arguably ones from which they too may never recover. It is with this paradox in mind that I chose not only this title but that of one of my recent books – The Next Liberation Struggle. For such a ‘next liberation struggle’, I live in hope.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.606
Threshold uncertainty score0.353

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.028
GPT teacher head0.267
Teacher spread0.240 · 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.

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

Citations7
Published2007
Admission routes1
Has abstractyes

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