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Getting Critical With Children

2003· review· en· W2166333173 on OpenAlexaff
Hélène Berman

Bibliographic record

VenueAdvances in Nursing Science · 2003
Typereview
Languageen
FieldSocial Sciences
TopicChildren's Rights and Participation
Canadian institutionsWestern University
Fundersnot available
KeywordsSituatedEmpowermentIdeologySociologyArticulation (sociology)Perspective (graphical)Critical theoryPoliticsAction (physics)Gender studiesRace (biology)Developmental psychologyPsychologyEpistemologyPolitical science

Abstract

fetched live from OpenAlex

The study of children and childhood has historically been accorded a marginal place in the health, human, and social sciences. In part, this is due to prevailing Western ideology that constructs children as passive, presocial, innocent, and vulnerable. The dominant discourse is further characterized by the treatment of children as a homogeneous group, devoid of race, class, or gender. While many investigators have described strategies for the conduct of research that is situated in the interpretive paradigm, there has been no comparable articulation of ideas regarding the conduct of critically grounded research when our participants are children. The purpose of this article is to put forth a historical and contextual analysis of childhood, including a discussion of evolving perspectives about childhood. The manner by which changing social, political, and environmental landscapes have contributed to the marginalization and disenfranchisement of children is examined. Finally, strategies for conducting nursing research that is grounded in the critical paradigmatic perspective, with the simultaneous aims of action, change, and empowerment, are proposed.

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)0.008
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.007
Threshold uncertainty score0.024

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.008
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0020.006
Scholarly communication0.0050.007
Open science0.0010.005
Research integrity0.0040.004
Insufficient payload (model declined to judge)0.0070.002

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 head0.033
GPT teacher head0.464
Teacher spread0.431 · 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 designNot applicable
Domainnot available
GenreReview

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

Citations60
Published2003
Admission routes1
Has abstractyes

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