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Enregistrement W6887713132 · doi:10.17605/osf.io/dc6xy

Development and internal validation of a search filter meant to identify Swiss graduate theses focusing on children’s homes written in French

2019· article· en· W6887713132 sur OpenAlexaboutno aff

Notice bibliographique

RevueOSF Preprints (OSF Preprints) · 2019
Typearticle
Langueen
DomaineDecision Sciences
ThématiqueMeta-analysis and systematic reviews
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésTerminologyFilter (signal processing)Work (physics)Qualitative researchData collection

Résumé

récupéré en direct d'OpenAlex

Abstract Background and rationale: Swiss social work students from higher education universities (HETS Lausanne, HETS Fribourg, HETS Valais and HETS Genève) have published over 4000 theses from 2008-2018, many of which report primary qualitative research (mainly interview studies). The current number of social work theses (thousands), variation in indexing, terminology and keywords used by students (foyer, maison, home, lieu de vie, institution, etc.) (or used in different universities) and database limitations (no abstracts available online for almost all theses) has made it difficult for to find Swiss works focusing on this topic. Children’s home research not identified by end-users and stakeholders are unlikely to be read, could be unnecessarily undertaken again and may therefore contribute to research waste. Neglecting children’s home research found in graduate theses also means that children in care and care workers would have given their time to contribute to research that may end up having little to no impact. A well-developed topic search filter meant to help identify children’s home research could prove to be a useful tool to limit research waste in this context. Objective: To develop and validate search filters meant to retrieve Swiss social work graduate theses focusing on children’s homes (topic search filter) written in French and indexed in Swissbib. Study design: Search filter development study and internal validation of the filters on one (1) dataset of relevant records and one (1) dataset of irrelevant records Methods: First, consecutive theses published by HETS Lausanne social work students from 1960-2015 were manually sought and assessed until 10 children’s home theses were found for each decade. Based on a brief assessment of their contents, 73 theses were deemed to focus on children’s homes and 123 to focus on other topics (“irrelevant theses”). The titles of the 73 included theses constituted the development set. The development set was analyzed using the Systematic Review Accelerator word frequency analyzer tool and the most commonly found 1 or 2 words keywords were extracted to an Excel document. Each keyword’s ability to correctly identify relevant theses (sensitivity) and correctly exclude irrelevant theses (specificity) was then calculated by emulating Swissbib’s exact keyword search and wildcard searches functions with imbricated COUNTIF().Two search filters were iteratively developed by subjectively selecting and combining keywords with the highest specificity and/or the highest sensitivity. The best “OR” keyword combinations were then sought through trial and error using the dynamic Excel search emulator, trying as best as possible to select keywords leading to inclusion of relevant records only. For all relevant theses titles which could not be found I tried to identify which missing keyword(s) combination(s) could have been used to include them without also including too many irrelevant titles too. Results: The highly sensitive search filter achieved 79.45% sensitivity and 95.12% specificity. This search filter found 58 out of 73 (79.45%) relevant theses and adequately excluded 117 out of 123 (95.12%) irrelevant records. The most effective highly specific search filter achieved 69.86% sensitivity and 98.37% specificity. This search filter found 51 out of 73 (69.86%) relevant theses and adequately excluded 121 out of 123 (98.37%) irrelevant records. It is meant to adequately exclude as many non-children’s homes theses as possible. Although a few additional relevant theses with uninformative titles could have been found with children’s homes non-specific keywords this was deemed to be inadequate for this would likely negatively affect the filter performances when/if used in a different dataset or database. Limitations: Search filter performances could therefore be slightly different in Swissbib. These search filter performances in other databases including French literature is currently unknown. The performance of a search filter is bounded by the limitations of the data (titles and abstracts) on which it is based; in the current context it is difficult to achieve higher sensitivities when a substantial portion of titles provide little information on the study focus and no abstracts are available. These search filter performances may vary over time if a) keywords in use change or b) graduate theses titles become more or less informative. These search filters are meant to identify children’s homes theses published from 1960 to 2015.A number of French keywords specific to children’s homes such as “foyer de jeunesse” (Canada), “home d’enfants”, “établissement dépositaire”, “Serix” and “maison d’éducation à caractère social (MECS)” (France) were not identified within children’s home theses, which suggests relevant titles can still be missed by these search filters and performances will vary if they are used to search non-Swiss theses. A sample of n=73 children’s homes theses was not enough to identify the full breadth of children’s homes keywords in use in Switzerland from 1960 to 2015. Identifying theses whose focus were children’s homes involved a level of subjectivity, particularly for institutions with mixed populations (children and adults) and other authors may differ with some of the judgements made. Discussion: The performances of the two search filters developed in this study should be tested (external validation) in other Swiss databases such as RERO Explore or Renouvaud prior to a more widespread use. HETS Lausanne’s librarians may encourage social work students to use these search filters to identify Swiss children’s homes theses and the Excel search simulator could also be used (and improved) to teach about developing effective search strategies. HETS students and higher education students could be given more or better guidance on how to make their theses titles more informative to future potential readers if they wish for others to benefits from insights emerging from their work. Swiss social work higher education schools should consider also including theses abstracts in electronic databases to help users identify works they may be interested in. PDF versions of graduate theses would also massively increase their accessibility and both national and international visibility. Funding: No funding was received for this work. Registration: Not done, previous report versions nevertheless available at https://osf.io/dc6xy/files . Data and materials: See https://osf.io/dc6xy/files. All other data is otherwise included within this manuscript. Keywords: Children’s homes, search filter, sensitivity and specificity, indexing, literature searching

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction machine sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.

score de la tête « metaresearch » (Codex)0,125
score de la tête « metaresearch » (Gemma)0,312
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesMétarecherche
Catégories consensuellesaucune
DomaineSignal candidat: Méthodes · Signal consensuel: aucune
Devis d'étudeSignal candidat: Expérimental (laboratoire) · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,875
Score d'incertitude au seuil0,659

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,1250,312
Méta-épidémiologie (sens strict)0,0020,001
Méta-épidémiologie (sens large)0,0030,003
Bibliométrie0,0150,008
Études des sciences et des technologies0,0030,002
Communication savante0,0050,005
Science ouverte0,0020,005
Intégrité de la recherche0,0030,002
Charge utile insuffisante (le modèle a refusé de juger)0,0140,005

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,382
Tête enseignante GPT0,447
Écart entre enseignants0,065 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Devis d'étudeExpérimental (laboratoire)
DomaineMéthodes
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations0
Publié2019
Routes d'admission1
Résumé présentoui

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