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Record W4400290521 · doi:10.58948/2834-8257.1026

LINK Virtual Forum on Authentic Assessment for Early Childhood Intervention: Interdisciplinary & International Consensus

2024· article· en· W4400290521 on OpenAlexaffabout
Stefano J Bagnato, Marisa Macy, Nora Smith, Carmen Dionne, Mary Beth Bruder, Maria Londono, Jackie Robinson Brock, Antonio Fevola, Tracy Larson

Bibliographic record

VenuePerspectives on early childhood psychology and education /Perspectives on early childhood psychology and education · 2024
Typearticle
Languageen
FieldPsychology
TopicEducational and Psychological Assessments
Canadian institutionsUniversité du Québec à Trois-RivièresInnovation and Economic Development Trois Rivières
Fundersnot available
KeywordsIntervention (counseling)Consensus conferencePsychologyMedicinePolitical scienceEngineering ethicsMedical educationLibrary scienceComputer scienceEngineeringNursing

Abstract

fetched live from OpenAlex

The LINK Virtual Forum on Authentic Assessment for Early Childhood Intervention: Interdisciplinary & International Consensus was orchestrated through a series of virtual focus-groups during the pandemic in 2021-2022. This new strategy for conducting a more robust national/international consumer social validity study gathered practice-based evidence from the field using national and international expert panel focus groups and an expert panel forum to survey Authentic Assessment experts and users. Uniquely, these deliberations relied upon the Nominal Group Technique (NGT) among participants to reach consensus decisions and Qualtrics survey results. The decision-making process addressed types of assessment measures that address early childhood intervention purposes best, but also, what specific processes and procedures best engage parents, professionals, and young children in a developmentally-appropriate and ecological assessment using best practice competencies and standards in the field to fulfill diverse ECI purposes. The central organizing feature of the Focus Groups and the Forum was the use of seven disciplinary focus groups (n=56) with membership selected by a disciplinary chairperson and the authors consisting of the following interdisciplinary professional groups: Early Childhood Educators/Early Intervention/Early Childhood Special Educators; Speech/Language Specialists; Physical Therapists, Occupational Therapists; Psychologists; University Faculty Representatives, and International Experts. We recruited a national and international representative sample of interdisciplinary participants (n=56) from the US, Canada, Australia, Turkey, Italy, Spain, Portugal, Ireland, Holland, China, Colombia, Korea, Taiwan, Uzbekistan, for two major LINK activities: (1) LINK Expert Panel Focus Groups (n=7); and (2) a cross-disciplinary LINK Expert Panel Forum. The process and outcome data on best practices in AA for ECI from the LINK Forum were based on the consensus of interdisciplinary and international experts in the ECI field. Keywords: authentic assessment; early childhood intervention; recommended practices; best practices; international; interdisciplinary

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)0.141
metaresearch head score (Gemma)0.139
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 score0.141
Threshold uncertainty score0.000

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.1410.139
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.001
Science and technology studies0.0050.003
Scholarly communication0.0070.006
Open science0.0040.023
Research integrity0.0060.005
Insufficient payload (model declined to judge)0.0210.005

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 head0.020
GPT teacher head0.393
Teacher spread0.373 · 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

Citations0
Published2024
Admission routes2
Has abstractyes

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