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Record W4232683341 · doi:10.31619/caledu.n44.18

Director(a) por primera vez. Un estudio sobre la experiencia y socialización de los directores noveles en establecimientos municipales de Chile.

2018· article· en· W4232683341 on OpenAlexaff
José Weinstein, Carolina Sandoval-Cuéllar, Macarena Hernández, Magdalena Fernández

Bibliographic record

VenueCalidad en la educación · 2018
Typearticle
Languageen
FieldSocial Sciences
TopicEducation and Teacher Training
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsSocializationPrincipal (computer security)SociologyPolitical sciencePublic relationsPedagogySocial science

Abstract

fetched live from OpenAlex

Taking the role of a school principal for the first time is a critical period in their job performance, issue that has been sparsely studied in Chile despite of the increasing renovation of school leaders at the time. Based on 12 case studies and a survey administered to 76 principals, this article explores the experience and socialization of beginning principals at public schools, capturing their professional development needs as well. The main results include: a profile of beginning principals; the confirmation of an abrupt start at school organization; focus on short term actions emphasizing school climate and institutional management actions (delaying focus on pedagogical management); experiencing external and internal school difficulties combined with a lack of personal competencies to overcome challenges; the absence of institutional support during this initial period, which is compensated by school internal actors’ support and individuals’ personal networks with other principals; and the need to differentiate between the experiences of beginning principals depending on whether they are insiders or outsiders to the school organization or the municipal sector.

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)0.003
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.707
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.025
GPT teacher head0.369
Teacher spread0.343 · 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 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
Published2018
Admission routes1
Has abstractyes

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