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Record W4405236288 · doi:10.18357/jcs202421716

Collaboration Among Early Childhood Professionals in Higher Education

2024· article· en· W4405236288 on OpenAlexaffvenue
Caroline Fabbruzzo

Bibliographic record

VenueJournal of Childhood Studies · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicInnovative Education and Learning Practices
Canadian institutionsWestern University
Fundersnot available
KeywordsEarly childhoodEarly childhood educationPsychologyDevelopmental psychology

Abstract

fetched live from OpenAlex

Collaboration among professionals is promoted in various disciplines. In the context of this literature review, I define collaboration as an ongoing multidimensional process that includes interaction, time commitment, the exchange of expertise, and the maintenance of a professional working relationship with stakeholders to promote best outcomes. There is an absence of collaboration among early childhood professionals: those supporting children and families and those in higher education. The absence of collaboration among early childhood professionals is a disservice to children, their families, and future early childhood professionals. Early childhood professionals in higher education have an ethical obligation to collaborate with one another to promote skills, knowledge, and pedagogical practices that will produce graduates of the highest quality. A consequence of collaboration is that graduates will be better prepared to make the greatest possible difference by supporting children and their families to achieve equal outcomes and well-being.

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)0.012
metaresearch head score (Gemma)0.024
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.012
Threshold uncertainty score0.062

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0120.024
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.004
Science and technology studies0.0040.002
Scholarly communication0.0080.005
Open science0.0010.007
Research integrity0.0030.002
Insufficient payload (model declined to judge)0.0030.000

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 head0.066
GPT teacher head0.447
Teacher spread0.381 · 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 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

Citations1
Published2024
Admission routes2
Has abstractyes

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