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Record W2276634438 · doi:10.5539/ies.v9n2p1

The Mobilization of the Formal Normative Rules in an Educational Institution: A Sociological Study in Portugal

2016· article· en· W2276634438 on OpenAlexvenueno aff
Sandro Serpa

Bibliographic record

VenueInternational Education Studies · 2016
Typearticle
Languageen
FieldSocial Sciences
TopicHistorical Education Studies Worldwide
Canadian institutionsnot available
Fundersnot available
KeywordsNormativeDisadvantagedInstitutionAdministration (probate law)Dimension (graph theory)Corporate governanceSociologyAction (physics)Public administrationFormal educationFormal organizationEducational administrationPolitical scienceManagementPedagogyHigher educationLawSocial scienceEconomics

Abstract

fetched live from OpenAlex

The formal dimension can greatly condition the operation of an organization. The present article aims to study the mobilization of organizations’ formal structures within educational institutions. To achieve this goal, I analyze the situations between 1858 and 1913 in which the bylaws and/or regulations of the Disadvantaged Children’s Shelter of Horta (Asilo de Infância Desvalida da Horta-AIDH), the Azores, Portugal, are explicitly noted with different chairmen and administrations through documents found in the organization’s archives. We find that these formal instruments are mobilized not only by the chairman and the administration but also by the governance, whether to justify the shelter’s operation, legitimize decisions already made, or refer to the importance of these formal official normative guidelines. As a result, we find that this formal dimension is of the utmost importance, not only as a potential guiding framework but also for legitimizing action, even though it does not necessarily reflect the operations of an organization.

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)0.004
metaresearch head score (Gemma)0.008
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: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.030
Threshold uncertainty score0.075

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.008
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.003
Science and technology studies0.0100.015
Scholarly communication0.0070.003
Open science0.0010.004
Research integrity0.0020.002
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 head0.089
GPT teacher head0.455
Teacher spread0.366 · 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

Citations2
Published2016
Admission routes1
Has abstractyes

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