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Record W2002021201 · doi:10.1111/chso.12017

Where are the children? Exploring the boundaries between text and context in the study of place and space in four different countries

2013· article· en· W2002021201 on OpenAlexaff
Marit Haldar, Eréndira Rueda, Randi Wærdahl, Claudia Mitchell, Johanna Geldenhuys

Bibliographic record

VenueChildren & Society · 2013
Typearticle
Languageen
FieldSocial Sciences
TopicChildren's Rights and Participation
Canadian institutionsMcGill University
FundersUniversitetet i Oslo
KeywordsReflexivityContext (archaeology)ScholarshipNegotiationInterpretation (philosophy)SociologySpace (punctuation)Process (computing)EthnographyEpistemologyPsychologySocial scienceLinguisticsPolitical scienceComputer scienceGeographyAnthropology

Abstract

fetched live from OpenAlex

In this article, we demonstrate how the cultural conceptions of a team of five researchers from different cultural and national backgrounds can be used as a source of knowledge during a collective, self‐reflexive analytical process. While collectively analysing texts describing daily life produced by first‐grade children and their parents in China, Norway, South Africa and the United States, the research team engaged in a collectively negotiated analytical process, which we refer to as an ‘analytic negotiating method’. The strength of this process rests on the ability to examine critically the boundaries between the researcher's contextual conceptions and conceptions derived from the texts. Engaging in this kind of negotiated analytical process contributes to scholarship by working towards a level of self‐reflexivity that makes the link between empirical data and researcher interpretation more transparent and produces a sensitivity to context that allows insights into the conceptions of childhood that operate cross‐culturally.

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 categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.133
Threshold uncertainty score1.000

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 studies0.0010.001
Scholarly communication0.0010.000
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 head0.038
GPT teacher head0.273
Teacher spread0.236 · 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.

Study designObservational
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

Citations2
Published2013
Admission routes1
Has abstractyes

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