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Record W4248778003 · doi:10.24124/2010/bpgub645

Self-presentation in the online dating environment.

2010· dissertation· en· W4248778003 on OpenAlexaff
Rene Madill

Bibliographic record

Venuenot available
Typedissertation
Languageen
FieldPsychology
TopicSexuality, Behavior, and Technology
Canadian institutionsLibrary and Archives Canada
Fundersnot available
KeywordsDeceptionHonestyThe InternetPsychologyPresentation (obstetrics)Everyday lifeFocus groupSocial psychologyInternet privacyMedicineComputer scienceWorld Wide WebSociologyPolitical science

Abstract

fetched live from OpenAlex

This study explored the world of Internet dating. It examined how daters presented themselves and formed impressions of others online with a particular focus on the accuracy of the online presentations. Five men and women who were currently dating online were interviewed and observed. In addition, one participant's observations prior to and after meeting another participant online were obtained. Participants reported that Internet dating was a great way to meet people but a difficult method of determining compatibility without meeting in person. Relationships that began on the Internet were continued offline only if the daters experienced chemistry in person. Deception was expected due to the nature of the medium (e.g., the lack of non-verbal cues), but the deception that was encountered was small in scale. All the participants claimed honesty in their presentations, but they misrepresented themselves in small, unintentional ways. Overall, the online impressions differed from the reality but not significantly enough to be a concern. Deception appeared to be no more rampant on the Internet than it is in everyday life.

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)0.000
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.475
Threshold uncertainty score0.996

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0050.000

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 head0.037
GPT teacher head0.386
Teacher spread0.349 · 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

Citations3
Published2010
Admission routes1
Has abstractyes

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