MétaCan
Menu
Back to cohort
Record W4414261231 · doi:10.18357/jcs501202521918

Child Ecologies in a Microbial World: A New Imperative for Childhood Studies

2025· article· en· W4414261231 on OpenAlexvenueno aff
Zsuzsa Millei, Na-Bin LEE, Spyros Spyrou, Marja I. Roslund, Asta Breinholt, Tuure Tammi, Beth A. Conklin, Sarah Alminde, Hanne Warming, Riikka Hohti

Bibliographic record

VenueJournal of Childhood Studies · 2025
Typearticle
Languageen
FieldSocial Sciences
TopicGeographies of human-animal interactions
Canadian institutionsnot available
Fundersnot available
KeywordsSocialityMultidisciplinary approachEveryday lifeConversationBiosocial theoryConstitutionChildhood studiesEarly childhood

Abstract

fetched live from OpenAlex

All bodies—child, animal, plant—are bodies sustained by life processes. Human as well as animal and plant bodies coexist with a multiplicity of microbial life. As symbiotic partners, human bodies are ecosystems of microbial life in a microbial world. In this way, microbes cannot simply be seen as disease-causing and human bodies as hosts of human-only life. Simplistic notions of the child as a unitary and social subject and the image of the agentic child are both questioned by this view. What if we considered for childhood studies the body’s microbial constitution in a bacterial world? How would everyday life unfold as a more-than-human sociality in which children act, think, and feel on a daily basis? In this conversation article, seven multidisciplinary scholars address the following questions by grounding their responses in their respective fields, in childhood, and in their research interests: How do microbes and childhood matter in your research? Consider how the understanding of microbes as foundational for life influences your field of research. How does your research seek to engage the biosocial imagination and the challenge of integrating biological and social understandings of the child in fruitful and robust ways? How do considerations of microbes and childhood bring together multidisciplinary engagements?

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)0.004
Version: codex-gemma-dda1882f352aValidation 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 score0.383
Threshold uncertainty score0.976

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.001
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 head0.036
GPT teacher head0.397
Teacher spread0.361 · 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.

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

Citations3
Published2025
Admission routes1
Has abstractyes

Explore more

Same venueJournal of Childhood StudiesSame topicGeographies of human-animal interactionsFrench-language works237,207