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Record W2481780704 · doi:10.1057/9781137480040_8

Touching Place in Childhood Studies: Situated Encounters with a Community Garden

2016· book-chapter· en· W2481780704 on OpenAlexaboutno aff
Fikile Nxumalo

Bibliographic record

VenuePalgrave Macmillan US eBooks · 2016
Typebook-chapter
Languageen
FieldSocial Sciences
TopicGeographies of human-animal interactions
Canadian institutionsnot available
Fundersnot available
KeywordsSituatedNoticeIndigenousColonialismSociologyRomanceGender studiesEarly childhoodMedia studiesGeographyPsychologyPolitical scienceArchaeologyPsychoanalysisDevelopmental psychologyLawEcologyArtificial intelligenceComputer science

Abstract

fetched live from OpenAlex

I situate this chapter alongside recent work in early childhood studies that has used more-than-human 1 epistemologies and ontologies to consider nature pedagogies in relation to Indigenous knowledges, human/more-than-human relationalities, natureculture entanglements, and anticolonial possibilities (Duhn, 2012; Pacini-Ketchabaw, 2013; Ritchie, 2012; Somerville, 2006; Taylor, 2013). Inspired by this work, and its commitment to resisting simplistic and romantic couplings of children and nature, I seek to notice the practices; sociomaterialities; and colonial histories 2 and relations that come together to enact the production of a community garden that I visit with children and early childhood educators in the childcare centers where my research 3 is situated. My specific localities in the Greater Vancouver area are unceded Musqueam, Squamish, Stó;:lo, and Tsleil-Waututh First Nations territories (Musqueam Band, 2011; Squamish Nation, 2008; Stó;:lo Nation, 2009; Tsleil-Waututh Nation, 2013).KeywordsEarly ChildhoodEarly Childhood EducationChildhood StudyCommunity GardenCultural GeographyThese keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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 categoriesMeta-epidemiology (narrow), Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.930
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
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 head0.032
GPT teacher head0.297
Teacher spread0.265 · 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 designTheoretical or conceptual
Domainnot available
GenreOther

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

Citations11
Published2016
Admission routes1
Has abstractyes

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