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Record W4384161212 · doi:10.7202/1100566ar

Exploring Transnational Dimensions of Activism in Contemporary Book Culture: Ons Klyntji and Afrikaner Activism

2023· article· en· W4384161212 on OpenAlexvenueno aff
Jana Klingenberg, Samantha Miller

Bibliographic record

VenueMémoires du livre · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicSouth African History and Culture
Canadian institutionsnot available
Fundersnot available
KeywordsPrideShameGender studiesIdentity (music)PoliticsPublishingFeelingVariety (cybernetics)SociologyPolitical scienceMedia studiesLawPsychologyAestheticsArtSocial psychology

Abstract

fetched live from OpenAlex

Afrikaans developed in South Africa out of an interaction among a variety of peoples. In the beginning, Afrikaans was considered a language spoken by the lower classes, but it rose from this low position to become an official language in 1925. After the National Party started to govern South Africa in 1948, Afrikaans became the language of the oppressor during apartheid. Post‑apartheid, Afrikaners questioned their identity, feeling conflicted between pride and shame. The magazine Ons Klyntji was established in 1896 to foster a literary culture and shape Afrikaner identity, and still exists today. Throughout its publication history, the magazine was used to promote progressive causes: first in the creation of an Afrikaans literature, and then as a vehicle for protest by Afrikaners against apartheid. Both these causes developed out of a need to find a distinct identity amongst Afrikaners. The researchers argue that the publishing of Ons Klyntji has contributed positively to progressive political and social change with regards to Afrikaner identity, particularly in the post‑apartheid period.

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)0.002
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.013
Threshold uncertainty score0.033

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0060.010
Scholarly communication0.0080.005
Open science0.0010.003
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0050.000

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 head0.089
GPT teacher head0.279
Teacher spread0.189 · 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 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

Citations0
Published2023
Admission routes1
Has abstractyes

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