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THE FAMILY AS A “GATHERING”: HOW THE LIFE OF AN OBJECT “MAKES” A FAMILY

2014· article· en· W1870576431 on OpenAlexvenueno aff
Philippe Noens, Stefan Ramaekers

Bibliographic record

VenueInternational Journal of Child Youth and Family Studies · 2014
Typearticle
Languageen
FieldSocial Sciences
TopicAnthropological Studies and Insights
Canadian institutionsnot available
Fundersnot available
KeywordsObject (grammar)Set (abstract data type)Agency (philosophy)Everyday lifeFamily lifeNewspaperEthnographyGenogramSociologyAestheticsInternet privacySocial psychologyPsychologyGender studiesMedia studiesSocial scienceComputer sciencePolitical scienceLawArtArtificial intelligence

Abstract

fetched live from OpenAlex

Despite the obvious importance of “family” in people’s everyday lives, there is little consensus on what family is. Nevertheless, every answer to the question has important (social, political, legal) consequences. In our research we do not set out from a substantial description of what “family” is. We shift from top-down perspectives on what the family is (or should be) according to some description of it, to concrete socio-material practices that actually “make” a family. In taking this socio-material stance, we: (a) acknowledge human agency and at the same time place family members not above material objects but among them; (b) use the idea of “script”-ing to visualize the life of particular objects in a particular family; and (c) come to understand “family” as a gathering of some sort, that is, as an event in which people are (actively) gathering and simultaneously being gathered around some-thing. Drawing on a broad ethnographic exploration we conducted, we will show here how a family is “made” when its inhabitants are gathering and being gathered around the life of an object (in our case here, a newspaper) and hence “become” a family.

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)0.001
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 score0.292
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.002
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.046
GPT teacher head0.323
Teacher spread0.277 · 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

Citations6
Published2014
Admission routes1
Has abstractyes

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