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Record W2469212138 · doi:10.5539/jedp.v6n2p37

How Did I Become Me?—Identical Female Twins Describe the Development of Their Individuality

2016· article· en· W2469212138 on OpenAlexvenueno aff
Kaarina Määttä, Henna Päiveröinen, Riikka Määttä, Satu Uusiautti

Bibliographic record

VenueJournal of Educational and Developmental Psychology · 2016
Typearticle
Languageen
FieldPsychology
TopicCognitive Abilities and Testing
Canadian institutionsnot available
Fundersnot available
KeywordsPsychologyDevelopmental psychologyIdentity (music)Style (visual arts)Social psychologyIdentical twinsLife spanQualitative researchSociologyLiteratureGeneticsAnthropologyArtAesthetics

Abstract

fetched live from OpenAlex

<p> </p><p>The purpose of this study was to describe the development of individuality and identity in female twins in the light of their upbringing experiences as described by themselves. Twin studies have traditionally been quantitative comparisons to singletons. On the one hand, research has drawn a mythical picture of twins, and one the other hand, studies have focused on the difficulties of growing as a separate, individual person. This was a qualitative study in which five Finnish identical female twins participated. They were interviewed with a themed interview method. In addition, they were asked to write about their upbringing and childhood. The sets of data were analyzed with a qualitative content analysis method. The results show that the twins’ identity development was challenged with clues given by their parents, from school and wider community, as well as by the impression they themselves had given to others about twinhood. Their individuality developed within the interaction between the sense of belonging together and other social relationships. The study also shows the important role of upbringing in identity development.</p><p><span style="font-family: Times New Roman;"><br /></span></p>

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.157
Threshold uncertainty score0.999

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 studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.106
GPT teacher head0.370
Teacher spread0.264 · 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

Citations7
Published2016
Admission routes1
Has abstractyes

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