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Narrar a vulnerabilidade escolar: concepção de uma abordagem metodológica

2020· article· pt· W3109976918 on OpenAlexaff
Marie‐Claude Bernard, Alice Vanlint, Hélène Makdissi

Bibliographic record

VenueRevista Brasileira de Pesquisa (Auto)Biográfica · 2020
Typearticle
Languagept
FieldPsychology
TopicPsychology and Mental Health
Canadian institutionsUniversité Laval
Fundersnot available
KeywordsHumanitiesSociologyPsychologyPhilosophy

Abstract

fetched live from OpenAlex

In this article, we propose a methodological approach for the study of vulnerability linked to a child's learning difficulties from the point of view of three actors: the child, the parent and the teacher. Taking a comprehensive ethnographic and clinical inspired approach, we have developed a device for collecting school life stories and three clinical-dialogical interview protocols appropriate to each of these actors. Guided by the objective of apprehending the discourse held by certain children struggling with learning difficulties in terms of vulnerability, our approach is also critical in the sense that it presents an open dialectical interaction between the researchers and their participants in which the first question the latter in order to reveal their constructs in light of the object of our study. This methodological proposal is part of a research project which aims to examine the theoretical foundations in relation to which learning difficulties (sociological, pedagogical, medical, psychological) are conceptualized with the aim of providing resources to act together.

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)0.004
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Research integrity, Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.233
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.001
Meta-epidemiology (narrow)0.0020.002
Meta-epidemiology (broad)0.0030.001
Bibliometrics0.0010.002
Science and technology studies0.0010.001
Scholarly communication0.0010.000
Open science0.0030.000
Research integrity0.0020.005
Insufficient payload (model declined to judge)0.0150.007

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 head0.060
GPT teacher head0.368
Teacher spread0.308 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
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
Published2020
Admission routes1
Has abstractyes

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