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Record W2965274882

Teachers and Care: A Relational Narrative Inquiry of the Power of Education

2019· article· en· W2965274882 on OpenAlexaff
Kaitlin Johnson

Bibliographic record

VenueStudent Research Proceedings · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicYouth Education and Societal Dynamics
Canadian institutionsMacEwan University
Fundersnot available
KeywordsNarrativeChampionPedagogyPower (physics)Identity (music)EmpowermentPsychologySociologyPolitical science
DOInot available

Abstract

fetched live from OpenAlex

Our human process of becoming – identity formation and emerging sense of self – begins at a very young age and reaches critical points through youth’s educational life course (Grosz, 1999). Through the process of becoming, the ways through which youth deal with the challenges in their lives is potentially supported or thwarted, depending on the presence of caring adults who may act as guides, adult mentors or what can be referred to as “champions.” According to Rita Pierson (2012), a champion for youth is “an adult who will never give up on them, who understands the power of connection and insists they become the best they can possibly be.” During adolescence, the transition from elementary school to junior high can result in “heightened levels of mistrust between teachers and students, student perceptions that teachers no longer care about them, and a decrease in opportunities for students to establish meaningful relationships with teachers” (Wentzel, 1997, p.411). Therefore, the position that teachers occupy at such an integral time for youth empowerment gives these adult authorities a unique opportunity to connect with youth and to establish a relationship that can serve as a role model and a support system for these youths as they learn who they are. This project is an exploration into the relational process of teacher-student connections from the vantage point of junior high educators to better understand why and how teachers form these significant relationships with students.   Faculty Mentor: Joanne Minaker Department: Sociology (Honours)

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.076
Threshold uncertainty score0.246

Codex and Gemma teacher scores by category

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

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 head0.097
GPT teacher head0.469
Teacher spread0.372 · 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.

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".

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Citations0
Published2019
Admission routes1
Has abstractyes

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