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Record W4361268786 · doi:10.1352/1934-9556-61.2.110

Applicants to a Special Education Advocacy Training Program: “Insiders” in the Disability Advocacy World

2023· article· en· W4361268786 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueIntellectual and developmental disabilities · 2023
Typearticle
Languageen
FieldPsychology
TopicFamily and Disability Support Research
Canadian institutionsAssumption University
Fundersnot available
KeywordsSocial connectednessInsiderPsychologyConstruct (python library)Self-advocacySocial psychologyQualitative researchScale (ratio)Public relationsDevelopmental psychologyPedagogyPolitical scienceSociologySocial science

Abstract

fetched live from OpenAlex

Although social groups have "insiders," this construct has not been measured within the disability advocacy community. Examining 405 individuals who applied for an advocacy training program, this study examined the nature of insiderness within the disability advocacy community and ties to individual roles. Participants showed differences in mean ratings across 10 insider items. A principal components analysis revealed two distinct factors: Organizational Involvement and Social Connectedness. Non-school providers scored highest on Organizational Involvement; family members/self-advocates highest on Social Connectedness. Themes from open-ended responses supported the factors and showed differences in motivation and information sources across insiderness levels and roles. Qualitative analysis revealed two additional aspects of insiderness not addressed in the scale. Implications are discussed for future practice and research.

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.

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)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.326
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.002
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0060.003

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 head0.112
GPT teacher head0.390
Teacher spread0.279 · 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