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Record W2362939265 · doi:10.29173/cais414

Quantitative "Versus" Qualitative Research: The Wrong Question

2013· article· fr· W2362939265 on OpenAlexaffvenue
Hope A. Olson

Bibliographic record

VenueProceedings of the Annual Conference of CAIS / Actes du congrès annuel de l ACSI · 2013
Typearticle
Languagefr
FieldSocial Sciences
TopicQualitative Research Methods and Ethics
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsSociologyReading (process)Contrast (vision)HumanitiesEpistemologyPhilosophyLinguisticsComputer scienceArtificial intelligence

Abstract

fetched live from OpenAlex

Through a deconstructive reading of texts on qualitative method and its contrast with quantitative method and through information needs studies regarding specific populations of women this paper concludes that the focus on method should not drive research. Rather, the ontological and epistemological stances of researchers assessed on a spectrum from subjective to objective are more indicative of the perspectives represented in library and information science research.Avec un étude déconstructif des textes sur des méthodes qualitatives et ses contrastes avec des méthodes quantitatives et avec l'étude des besoins informatiques à l'égard des populations spécifiques de femmes cette document conclut que le focus sur les méthodes utilisées ne devrait pas motiver la recherche. Au lieu, les positions ontologiques et épistemologiques des chercheurs évaluées sur une gamme du subjectif à l'objectif sont plus indicatives des perspectives représentées dans la domaine de la bibliothéconomie et des sciences de l'information.

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)0.329
metaresearch head score (Gemma)0.361
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesMetaresearch
DomainCandidate signal: Methods · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.671
Threshold uncertainty score0.827

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.3290.361
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0040.004
Science and technology studies0.0060.074
Scholarly communication0.0140.034
Open science0.0040.008
Research integrity0.0100.012
Insufficient payload (model declined to judge)0.0050.001

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 head0.372
GPT teacher head0.527
Teacher spread0.155 · 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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.

Study designTheoretical or conceptual
DomainMethods
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

Citations51
Published2013
Admission routes2
Has abstractyes

Explore more

Same venueProceedings of the Annual Conference of CAIS / Actes du congrès annuel de l ACSISame topicQualitative Research Methods and EthicsFrench-language works237,207