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Record W7081993173 · doi:10.35699/2237-549x.2024.56067

Praticando metodologias para análises de conjuntura

2025· article· en· W7081993173 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

VenueRevista Geografias · 2025
Typearticle
Languageen
FieldSocial Sciences
TopicGeography Education and Pedagogy
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsExposition (narrative)ReflexivitySalientExtant taxonOrientation (vector space)Conceptual framework

Abstract

fetched live from OpenAlex

Conjunctural analysis is a rather enigmatic practice, observed mostly after the fact and in feats of exemplary execution, apparently somewhat resistant to codification, and maybe too modish for methodological rules. Predicated on the analysis of politically salient ‘situations’, conjunctural approaches combine reflexive theorizing with socially engaged inquiry and context-rich, historicized modes of analysis. Exploring the potential of conjunctural analysis in economic geography, the article moves first to tease out the methodological implications of this rather elusive approach, including: attention to complex states of causal codetermination, ‘in articulation’; an orientation to relational and ‘unbounded’ modes of inquiry; an emphasis on the stress-testing of received theory claims and conceptual categories, often in anomalous (as opposed to ‘typical’) situations; and a commitment to reflexivity, context-engaged analysis, and ‘thick’ theorization. Second, the article interrogates these methodological dispositions and propositions by placing them in dialogue, indicatively, with the case of Chinese capitalism. This is a case that routinely frustrates and confounds extant theoretical frameworks and conceptual categories, sometimes prompting theoretical defeatism. Although conjunctural analysis is not methodologically prescriptive, it implies distinctive criteria for problem formulation and research design; for ‘casing’, case selection, and specification; and for the exposition and (re)construction of contextualized theory claims.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.897
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.048
GPT teacher head0.424
Teacher spread0.375 · 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