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Record W3132803205 · doi:10.1177/1942778621993448

Dialectics to the rescue: Critical insights into Africa’s (under)development

2021· article· en· W3132803205 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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueHuman Geography · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicAfrican cultural and philosophical studies
Canadian institutionsTrent UniversityYork University
Fundersnot available
KeywordsDialecticNegationContradictionEpistemologyOpposition (politics)SociologyPolitical scienceEnvironmental ethicsLawPhilosophyPolitics

Abstract

fetched live from OpenAlex

That dialectics, as a mode of reasoning, is routinely used to explain the worlds of both nature and society per their inherent complexities, contradictions, and states of flux makes it quite amenable to robust theorizations of development. However, since many are those who see Africa(ns) in simplistic and wholly pessimistic terms, it is unsurprising that there is a conspicuous dearth of dialectical analysis of Africa’s development challenges and prospects. This paper examines Africa’s development from the standpoint of dialectics, showing how the key tenets and concepts of dialectics—including negation, sublation, the transformation of quantity to quality, the interpenetration of opposites, and the interchangeability of causes and effects—could help us understand the trajectory and dynamics of Africa’s development. The paper conceptualizes development as a dialectical process and, consequently, sees efforts in development discourse to set Africa (or any other part of the world, for that matter) in strict binary opposition to another region as unsustainable.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
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 score0.783
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0040.001
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 head0.066
GPT teacher head0.327
Teacher spread0.261 · 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