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Record W1543781825 · doi:10.4471/rise.2014.15

Dual-Role Educator-Parents: How Public Educators Navigate Their Own Children Through Public Education

2014· article· en· W1543781825 on OpenAlexaff
Katherine Becker, Libbi R. Miller, Sarah Cashmore, Daniel F. Becker

Bibliographic record

VenueInternational Journal of Sociology of Education · 2014
Typearticle
Languageen
FieldSocial Sciences
TopicParental Involvement in Education
Canadian institutionsLakehead University
Fundersnot available
KeywordsInsiderPremisePsychologyNarrativeSocial capitalPublic relationsMedical educationPedagogyPolitical scienceMedicine

Abstract

fetched live from OpenAlex

The purpose of this narrative inquiry was to reveal how parents who are educators navigate their children through public education (from Kindergarten to the completion of high school) and to share their insights with the widest possible audience to ultimately enhance the learning and wellbeing of all children. The premise of this study was that teachers and principals use social capital acquired through their professional practice in their role as parents, and that sharing their experiences with parents who have no insider knowledge may benefit all children. Findings indicated that participants used social capital (knowledge, relationships, and resources) about public schooling to enhance their children’s academic success and wellbeing. Although participants offered advice for all parents and divulged their own personal practices as parents, several also acknowledged the fear some parents would feel to follow their advice entailing involvement with schools, teachers and administrators. As such, policy makers and educators are urged to improve communications that increase parents’ comfort, in order to remove fear as a barrier to involvement and advocacy.

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)0.002
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.298
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.001
Scholarly communication0.0000.002
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 head0.036
GPT teacher head0.358
Teacher spread0.323 · 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 designObservational
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

Citations3
Published2014
Admission routes1
Has abstractyes

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