Esta sección de análisis especial ofrece un análisis feminista crítico y acceso a los recursos clave relacionados con la «protección de la familia» en los espacios internacionales de derechos humanos.
Durante los últimos años, venimos observando una nueva y preocupante tendencia en el ámbito internacional de derechos humanos, donde se están empleando discursos sobre la «protección de la familia» para defender violaciones cometidas contra miembros de la familia, de modo de reforzar y justificar la impunidad y para coartar la igualdad de derechos en el seno de la familia y la vida familiar.
La campaña para «proteger a la familia» es impulsada por proyectos conservadores que tienen como fin imponer interpretaciones «tradicionales» y patriarcales de familia; quitando los derechos de las manos de sus miembros para ponerlos en las de la institución «familia».
Desde 2014 un grupo de estados opera como bloque en espacios de derechos humanos, bajo el nombre «Group of Friends of the Family» [Grupo de amigos de la familia], y a partir de entonces se han aprobado resoluciones sobre la «Protección de la familia» todos los años.
Esta agenda se ha extendido más allá del Consejo de Derechos Humanos (HRC, por sus siglas en inglés). Hemos visto cómo el lenguaje regresivo sobre «la familia» se ha introducido en la Comisión de la Condición Jurídica y Social de las Mujeres (CSW, por sus siglas en inglés), y hemos asistido a intentos por incluir este lenguaje en las negociaciones sobre los Objetivos de Desarrollo Sostenible.
AWID trabaja con asociadxs y aliadxs para resistir conjuntamente las agendas regresivas de «Protección de la familia» y otras, y para defender la universalidad de los derechos humanos.
En respuesta a la creciente influencia de actores regresivos en los espacios de derechos humanos, AWID se ha unido con aliadxs para formar el Observatorio de la Universalidad de los Derechos (OURs, por sus siglas en inglés). OURs es un proyecto colaborativo que monitorea, analiza y comparte información sobre iniciativas anti-derechos tales como la «Protección de la familia».
Derechos en Riesgo, el primer informe de OURs, traza un mapa de los actores que conforman el cabildeo global anti-derechos e identifica sus discursos y estrategias principales, señalando los efectos que estos discursos y estrategias están teniendo sobre nuestros derechos humanos.
El informe expone a la «Protección de la familia» como una agenda que ha promovido la colaboración entre una amplia gama de actores regresivos en las Naciones Unidas. La describe como un marco estratégico que aloja «múltiples posiciones patriarcales y anti-derechos, cuyo marco, a su vez, apunta a justificar e institucionalizar estas posiciones».
« Si on peut hériter de traumatismes, peut-on aussi hériter d’une impression en lien avec l’amour? »
您若持有下列國家的護照，可免簽入境台灣到台北參與論壇活動（請留意持免簽可停留的天數各國不同）：
安道爾、澳大利亞、奧地利、比利時、保加利亞、汶萊、加拿大、智利、克羅埃西亞、賽普勒斯、捷克、丹麥、愛沙尼亞、 史瓦濟蘭、芬蘭、法國、德國、希臘、瓜地馬拉、海地、宏都拉斯、匈牙利、冰島、愛爾蘭、以色列、義大利、日本*、韓國、拉脫維亞、列支頓斯登、立陶宛、盧森堡、馬爾他、馬歇爾群島、摩納哥、荷蘭、紐西蘭、尼加拉瓜、挪威、帛琉、巴拉圭、菲律賓、波蘭、葡萄牙、羅馬尼亞、俄國、聖馬利諾、斯洛伐克、斯洛維尼亞、西班牙、瑞典、瑞士、吐瓦魯、英國、美國、梵蒂岡城國、貝里斯、多明尼加、馬來西亞、諾魯、聖克里斯多福及尼維斯、聖塔露西亞、聖文森和格瑞納丁、新加坡。
未持有上述國家護照的人士來台北須申請簽證。
請留意：
在您完成論壇註冊手續後，無論您國籍為何，應會收到與論壇參與相關的一組號碼，用於申請來台灣的電子簽證。
論譠開放報名的時間我們會另行通知。
In 2002 AWID celebrated its 20th anniversary. Given the challenging political, economic and funding environment in which women's organizations must survive, a milestone such as this is worthy of recognition.
In the past two decades the geo-political landscape has been transformed and development theories have come and gone, but approaches to ensure women benefit from development processes have endured.
In its twenty-year history, AWID grew from a volunteer organization for U.S. "Women in Development" (WID) specialists to an international network striving to support proactive and strategic gender equality research, activism and policy dialogue.
On the occasion of its 20th anniversary, this paper charts not only the changes in AWID's organizational structure and goals but also the shifts in policy approaches to gender equality in a changing global environment, through the lens of a membership organization committed to improving the lives of women and girls everywhere.
Related content
Telesur: Another Activist Murder Linked to Canadian Mining in Guatemala
Guatemala Human Rights Commission: Two Defenders Killed in January
IM Defensoras: Assailants kill territorial defender, Laura Leonor Vásquez
Alors que le capitalisme hétéropatriarcal s’acharne à nous contraindre au consumérisme et à la conformité, nous constatons que nos luttes sont cloisonnées et séparées par des frontières aussi bien physiques que virtuelles.
Estas defensoras lucharon por los derechos sobre la tierra, de las mujeres y de los pueblos indígenas; haciendo frente a las industrias extractivas, escribiendo poesía y promoviendo el amor. Una de ellas desapareció hace ya 19 años. Únete a nosotras para recordar y honrar a estas defensoras de derechos humanos, su trabajo y su legado, compartiendo los memes aquí incluidos; y tuiteando las etiquetas #WHRDTribute y #16Días.
Por favor, haz click en cada imagen de abajo para ver una versión más grande y para descargar como un archivo.
Moi : Monsieur, avez-vous essayé le pegging?
Lui : Non, madame.
Moi : Pensez-y, parce que j’aimerais bien vous baiser comme ces entreprises qui baisent leur personnel pour un salaire à peine minimum.
These transgender women were murdered because of their activism and their gender identity. There are insufficient laws recognizing trans* rights, and even where these laws exist, very little is being done to safeguard the rights of trans* people. Please join AWID in honoring these defenders, their activism and legacy by sharing the memes below with your colleagues, networks and friends and by using the hashtags #WHRDTribute and #16Days.
Please click on each image below to see a larger version and download as a file
Before starting the WITM research methodology, it is important you prepare the background and know what to expect.
With AWID’s WITM research methodology, we recommend that you first review the entire toolkit.
While this toolkit is designed to democratize WITM research, there are capacity constraints related to resources and research experience that may affect your organization’s ability use this methodology.
Use the “Ready to Go?” Worksheet to assess your readiness to begin your own WITM research. The more questions you can answer on this worksheet, the more prepared you are to undertake your research.
Before beginning any research, we recommend that you assess your organization’s connections and trust within your community.
In many contexts, organizations may be hesitant to openly share financial data with others for reasons ranging from concerns about how the information will be used, to fear of funding competition and anxiety over increasing government restrictions on civil society organizations.
As you build relationships and conduct soft outreach in the lead-up to launching your research, ensuring that your objectives are clear will be useful in creating trust. Transparency will allow participants to understand why you are collecting the data and how it will benefit the entire community.
We highly recommend that you ensure data is collected confidentially and shared anonymously. By doing so, participants will be more comfortable sharing sensitive information with you.
We also recommend referring to our “Ready to Go?” Worksheet to assess your own progress.
Cette édition du journal, en partenariat avec Kohl : a Journal for Body and Gender Research (Kohl : une revue pour la recherche sur le corps et le genre) explorera les solutions, propositions et réalités féministes afin de transformer notre monde actuel, nos corps et nos sexualités.
This section will guide you on how to ensure your research findings are representative and reliable.
In this section:
- Collect your data
1. Before launch
2. Launch
3. During launch- Prepare your data for analysis
1. Clean your data
2. Code open-ended responses
3. Remove unecessary data
4. Make it safe- Create your topline report
- Analyze your data
1. Statistical programs
2. Suggested points for analysis
If you also plan to collect data from applications sent to grant-making institutions, this is a good time to reach out them.
When collecting this data, consider what type of applications you would like to review. Your research framing will guide you in determining this.
Also, it may be unnecessary to see every application sent to the organization – instead, it will be more useful and efficient to review only eligible applications (regardless of whether they were funded).
You can also ask grant-making institutions to share their data with you.
Your survey has closed and now you have all this information! Now you need to ensure your data is as accurate as possible.
Depending on your sample size and amount of completed surveys, this step can be lengthy. Tapping into a strong pool of detail-oriented staff will speed up the process and ensure greater accuracy at this stage.
Also, along with your surveys, you may have collected data from applications sent to grant-making institutions. Use these same steps to sort that data as well. Do not get discouraged if you cannot compare the two data sets! Funders collect different information from what you collected in the surveys. In your final research report and products, you can analyze and present the datasets (survey versus grant-making institution data) separately.
There are two styles of open-ended responses that require coding.
Questions with open-ended responses
For these questions, you will need to code responses in order to track trends.
Some challenges you will face with this is:
If using more than one staff member to review and code, you will need to ensure consistency of coding. Thus, this is why we recommend limiting your open-ended questions and as specific as possible for open-ended questions you do ask.
For example, if you had the open-ended question “What specific challenges did you face in fundraising this year?” and some common responses cite “lack of staff,” or “economic recession,” you will need to code each of those responses so you can analyze how many participants are responding in a similar way.
For closed-end questions
If you provided the participant with the option of elaborating on their response, you will also need to “up-code” these responses.
For several questions in the survey, you may have offered the option of selecting the category “Other” With “Other” options, it is common to offer a field in which the participant can elaborate.
You will need to “up-code” such responses by either:
Analyze the frequency of the results
For each quantitative question, you can decide whether you should remove the top or bottom 5% or 1% to prevent outliers* from skewing your results. You can also address the skewing effect of outliers by using median average rather than the mean average. Calculate the median by sorting responses in order, and selecting the number in the middle. However, keep in mind that you may still find outlier data useful. It will give you an idea of the range and diversity of your survey participants and you may want to do case studies on the outliers.
* An outlier is a data point that is much bigger or much smaller than the majority of data points. For example, imagine you live in a middle-class neighborhood with one billionaire. You decide that you want to learn what the range of income is for middle-class families in your neighborhood. In order to do so, you must remove the billionaire income from your dataset, as it is an outlier. Otherwise, your mean middle-class income will seem much higher than it really is.
Remove the entire survey for participants who do not fit your target population. Generally you can recognize this by the organizations’ names or through their responses to qualitative questions.
To ensure confidentiality of the information shared by respondents, at this stage you can replace organization names with a new set of ID numbers and save the coding, matching names with IDs in a separate file.
With your team, determine how the coding file and data should be stored and protected.
For example, will all data be stored on a password-protected computer or server that only the research team can access?
A topline report will list every question that was asked in your survey, with the response percentages listed under each question. This presents the collective results of all individual responses.
Tips:
- Consistency is important: the same rules should be applied to every outlier when determining if it should stay or be removed from the dataset.
- For all open (“other”) responses that are up-coded, ensure the coding matches. Appoint a dedicated point person to randomly check codes for consistency and reliability and recode if necessary.
- If possible, try to ensure that you can work at least in a team of two, so that there is always someone to check your work.
Now that your data is clean and sorted, what does it all mean? This is the fun part where you begin to analyze for trends.
Are there prominent types of funders (government versus corporate)? Are there regions that receive more funding? Your data will reveal some interesting information.
Smaller samples (under 150 responses) may be done in-house using an Excel spreadsheet.
Larger samples (above 150 responses) may be done in-house using Excel if your analysis will be limited to tallying overall responses, simple averages or other simple analysis.
If you plan to do more advanced analysis, such as multivariate analysis, then we recommend using statistical software such as SPSS, Stata or R.
NOTE: SPSS and Stata are expensive whereas R is free.
All three types of software require staff knowledge and are not easy to learn quickly.
Try searching for interns or temporary staff from local universities. Many students must learn statistical analysis as part of their coursework and may have free access to SPSS or Stata software through their university. They may also be knowledgeable in R, which is free to download and use.
• 2 - 3 months
• 1 or more research person(s)
• Translator(s), if offering survey in multiple languages
• 1 or more person(s) to assist with publicizing survey to target population
• 1 or more data analysis person(s)
• List of desired advisors: organizations, donors, and activists
• Optional: an incentive prize to persuade people to complete your survey
• Optional: an incentive for your advisors
Survey platforms:
• Survey Monkey
• Survey Gizmo (Converts to SPSS for analysis very easily)
Examples:
• 2011 WITM Global Survey
• Sample of WITM Global Survey
• Sample letter to grantmakers requesting access to databases
Visualising Information for Advocacy:
• Cleaning Data Tools
• Tools to present your data in compelling ways
• Tutorial: Gentle Introduction to Cleaning Data
